Collaborative Filtering Deep Learning Jobs in Usa

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Position Type:

  Administration-Licensed/Assistant Superintendent

Location:

  Educational Service Center

Date Available:

  07/01/2026

Application Closing Date:

  03/08/2026

Submit an application:

Job ID: 31637 

General Purpose of Job: The Assistant Superintendent—Leadership, Teaching, and Learning—supports the district's mission to inspire and prepare all students with the confidence, courage, and competence to achieve their dreams, contribute to their community, and engage in a lifetime of learning by serving as a key member of the executive leadership team that plans, directs, and coordinates strategic actions aligned with district goals. The position provides system-level leadership for all E-12 schools and program sites, with specific oversight of initiatives and services as assigned by the Superintendent of Schools. The Assistant Superintendent represents the district at the local, state, and national levels and leads efforts to enhance academic achievement, operational effectiveness, and equity across the system.

Osseo Area Schools is where students discover opportunities, build confidence, and prepare for bright futures. From early childhood to high school, we offer experiences inside and outside the classroom that help students grow into curious, capable and connected learners. As Minnesota's fifth-largest school district, we proudly serve eight communities—including Brooklyn Park, Brooklyn Center, Maple Grove, Osseo, Plymouth, Corcoran, Dayton and Rogers—and offer specialized magnet programs in the Arts, STEM, STEAM, Health Science, and International Baccalaureate. With a student body representing over 100 languages and cultures, our schools reflect the global community, creating an inclusive, enriching environment that prepares students for today's world and tomorrow's opportunities. Our 21,000+ students learn across seventeen elementary schools (PreK-5), four middle schools (6-8), three senior highs (9-12), an area learning center (9-12), a fully-online school (6-12), two early childhood centers, and an adult education center.

Learn more about Osseo Area Schools here!

Essential Duties and Responsibilities:

Achieves strategic objectives by leading and representing the district at the executive level.

• Supporting the superintendent, as a member of the Executive Leadership Team, in coordinating action to achieve the mission.
• Serving as the acting superintendent in the absence of the superintendent.
• Representing the perspectives, needs and interests for Leadership, Teaching and Learning.
• Working collaboratively with leaders in Human Resources and Business Services, Community Engagement, Instructional & Information Technology, Communications and with the General Counsel to achieve the mission of the school system.
• Representing the school system at the national, state, and local level.
• Participating in all School Board meetings and work sessions.

Ensures a collaborative culture by fostering trust, professionalism, and effective teamwork across the district.

• Adhering to the organization's core values.
• Practicing the language distinctions and promise keeping associated with leadership.
• Demonstrating trustworthiness (care, competence, sincerity, reliability).
• Designing and facilitating effective meetings.
• Establishing effective relationships with colleagues, students, families, staff, and community members in order to influence action.
• Setting standards for professional interactions and holding others accountable to the standards.
• Providing support and direction to direct reports.
• Ensuring that collaborative teams are setting standards for their area of work, examining data regarding effectiveness, and taking action to meet the standards.
• Working collaboratively with system administrators to achieve the system's mission.
• Responding to concerns and inquiries from parents/guardians, staff and community members.
• Demonstrating a professional demeanor.
• Serving on committees as needed and/or assigned.

Ensures improved student achievement by driving equitable, evidence-based practices and systems of continuous improvement.

• Demonstrating leadership for racial equity.
• Overseeing the design, implementation, and continuous improvement of curriculum to meet the Minnesota Academic Standards and the needs of students.
• Ensuring effective instruction.
• Evaluating programs and practices using data.
• Ensuring that collaborative teams are setting standards, examining data, and designing interventions for students who have already met and who have not yet met the standards.
• Providing student support services to meet the needs of students.
• Supervising and evaluating site and system leaders.
• Providing professional development for leaders that is both job embedded (finances, budgeting, personnel, staffing, student discipline, staff evaluation) and organization embedded (systems thinking/action, instructional leadership, collaborative problem solving, learning organization).
• Providing professional development for teaching and support staff.
• Visiting schools regularly.
• Leading new initiatives to improve student achievement.
• Reducing suspensions from school and eliminating the racial disparity within the suspensions.
• Overseeing the program of extracurricular activities.
• Serving as the catalyst for site continuous improvement.

Ensures effective organizational management by providing strategic operational leadership and oversight.

• Collaborating with staff and local law enforcement officials to maintain a safe and healthy learning environment.
• Providing direct instruction in student management practices to ensure alignment with board policies and to maintain consistency in practices across sites.
• Allocating human and financial resources to accomplish our mission.
• Promoting a positive image of schools and the school system.
• Maintaining current understanding of laws, policies, and employment contracts which impact schools.
• Setting standards for effective operational practice as necessary.
• Effectively communicating operational management procedures and practices.
• Coordinating the work of principals, directors, assistant principals, coordinators and other management personnel to ensure organizational effectiveness.
• Evaluates and supervises building principals and other staff, including hiring, coaching, managing performance, and—in consultation with human resources—administering disciplinary action.

Completes other duties as assigned by the Superintendent.

Qualifications for the position:

• Master's degree in Educational Administration with an emphasis in instructional programming (E-12). A doctorate degree is preferred.
• Seven (7) to ten (10) years of experience in educational administration, including leadership as a principal and/or central office administrator.
• Must possess a valid Minnesota Superintendent license.

Salary: Pay Grade 127, $206,677 to $237,679 annually

FTE: Full-time, 260/261 workdays per year

Desired start date: July 1, 2026

Applications are due by Sunday, March 8, 2026 at 11:59 PM. Key dates for this search process include:

• Thursday, April 2, OR Friday, April 3, 2026
• Tuesday, April 7, 2026
• Wednesday, April 15, 2026

Physical Demands:

Sedentary Work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. Work involves frequent sitting, talking, hearing, and the use of hands to operate a computer and standard office equipment. The employee may occasionally stand, walk, reach with hands and arms, or stoop. Visual acuity is required for reading and preparing documents, viewing a computer screen, and performing administrative tasks with precision. The position also requires the energy and stamina necessary to fulfill the demands of educational leadership in a dynamic school district environment.

Working Conditions:

Work is performed in a standard office setting located within school buildings or district administrative facilities. The position involves minimal exposure to environmental hazards or physical risks. Tasks are typically conducted in climate-controlled spaces equipped with appropriate technology and resources. The work is highly deadline-driven, often requiring management of multiple priorities and frequent interaction with school leaders, staff, students, families, and community stakeholders.

Osseo Area Schools offers:

• Meaningful and impactful work
• Opportunities to grow professionally
• A variety of benefits
• ...and more! 

Equal Employment Opportunity Statement: 

Osseo Area School District ISD 279 is an Equal Opportunity, and veteran-friendly employer. Osseo Area School District ISD 279 ensures equal employment opportunities regardless of race, color, creed, sex, gender identity, color, marital status, national origin, religion, age, sexual orientation, status with regard to public assistance, or disability. Osseo Area School District is committed to a workforce that reflects the diversity of the district and strongly encourages persons to apply who can strengthen our diversity. For more information, view the District's Equal Opportunity and Prohibition Against Discrimination, Harassment and Violence Policy. 

Veteran's Preference: If you are an eligible veteran, please submit a legible copy of your DD214 with your application. 

Accommodation: If you have a disability that requires an accommodation during the selection process, please email Human Resources at   or call 763-391-7007.

Background Check Process Upon Conditional Offer: 

Background checks are conducted upon receiving a conditional offer. Employees must complete a background check and are responsible for the background fee. A passing background is required. Criminal convictions are reviewed on a case-by-case basis.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.

What you will do:

• 
  
• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  
• Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  
• Foster a collaborative, inclusive, and high-performing team culture.
  
  

What we're looking for:

• 
  
• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  
• 2+ years of people management experience leading engineering teams.
  
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-AK7
#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

The Opportunity

The Head of Enterprise Productivity & Collaboration Tools is a senior leader responsible for the strategic direction, integration, and optimization of MassMutual’s core collaboration and productivity platforms—including ServiceNow, Microsoft 365, Slack, Zoom, Teams, and Atlassian—with a strong focus on AI enablement and automation. This role will drive the adoption of AI-powered capabilities across platforms to enhance employee experience, operational efficiency, and business agility.

The Team

You will lead a multi-disciplinary global team, including senior managers and specialized platform experts. The team is collaborative, agile, and focused on innovation and accountability. You will foster a high-performance, inclusive culture and develop talent strategies to build AI fluency and platform expertise across the organization.

The Impact:

• Develop and execute a 1–3+ year strategic roadmap for enterprise enablement platforms with a focus on AI integration, automation, and intelligent workflows
• Partner with Enterprise Architecture and Research & Development teams to embed AI capabilities into platform services (e.g., virtual agents, intelligent routing, predictive analytics)
• Lead platform modernization efforts, ensuring alignment with digital transformation and AI-first strategies
• Promote a culture of innovation by enabling employees to contribute ideas and participate in proof-of-concept initiatives
• Oversee platform governance, performance, and lifecycle management across enterprise platforms including ServiceNow, Microsoft, Slack, Zoom, Teams, and Atlassian
• Define and monitor KPIs, SLAs, and AI-driven metrics to ensure platform reliability, adoption, and value realization
• Optimize licensing, usage, and cost efficiency through data-driven insights and automation
• Serve as a strategic advisor to senior leadership on platform and AI enablement opportunities
• Collaborate with business, IT, security, and compliance stakeholders to ensure alignment and adoption
• Lead change management efforts to drive user engagement and maximize ROI from platform investments
• Manage, coach, and motivate a global team while building a strong, diverse talent pipeline
• Manage vendor relationships and external partnerships
• Execute operational strategy with latitude in day-to-day decision-making
• Implement short- to medium-term strategies (1–3 years); contribute to broader strategic planning
• Manage teams performing multiple functions/disciplines, including exempt and non-exempt employees

The Minimum Qualifications

• Bachelor’s degree in Technology, Business, or related field
• 10+ years of experience in enterprise technology, with 5+ years in senior leadership roles
• Proven track record in managing and scaling enterprise platforms (ServiceNow, Microsoft Copilot, Slack, Zoom, Teams, Atlassian)
• Deep understanding of AI technologies and their application in enterprise environments
• Experience leading platform modernization and AI transformation initiatives
• Strong financial acumen with experience managing large-scale budgets
• Exceptional communication, stakeholder management, and strategic planning skills
• Authorized to work in the U.S.

The Ideal Qualifications

• Experience with AI/ML platforms (e.g., Azure AI, OpenAI, ServiceNow AI, Microsoft Copilot)
• Familiarity with agile, DevOps, and product management methodologies
• MBA or advanced degree in a relevant field
• Excellent facilitation, collaboration, and change management skills
• Strong financial acumen and data-driven decision-making
• Ability to work across all organizational levels and in complex environments
• Global travel flexibility and self-driven work ethic
• Excellent written and communication skills
• Ability to multitask, solve problems resourcefully, and work well under pressure
• Experience with strategic planning, business development, or stakeholder management

#LI-MC1

The IBM Consulting Learning and Knowledge (L&K) Americas Lead will be accountable for overall skills growth for our client-facing Consulting staff in the Americas and local execution of the global L&K strategy. This role will manage local L&K resources, be responsible for the Americas L&K budget, and coordinate with business leaders, L&K’s worldwide portfolio teams, and several shared services functions to ensure that priority education and credential needs are met within the budget.

Key responsibilities include engaging with Geography stakeholders to understand their needs and priorities, raising those needs with L&K’s global portfolio leads/senior strategists, end-to-end budget management, and delivering quality education aligned to business priorities and the broader people strategy.

• Engage Geography stakeholders (Geo General Manager, Operations Leader, Market Leaders Service Line leaders, etc.) as well as peers from within the Geo Talent Supply Chain (HR, Workforce Management, Talent Acquisition) as the "primary face of L&K" to the Geography.

• Team with other L&K roles (Portfolio Leads, Lead Learning Strategists, Delivery Leads, Shared Services Learning Consultants) in our organizational matrix to ensure coordination and alignment.

• Manage the L&K Geography budget, securing initial requirements in the Fall Plan, engaging with Geography leadership and Finance to agree a committed budget, manage budget changes through quarters and ensure the overall program stays within the annual/quarterly budget envelopes - all requiring close coordination with business operations leads as well as the various L&K Portfolio and Shared Services teams.

• Lead the L&K team in the Geography, including L&K Geo Operations/Finance and L&K Market Leaders. They will also serve as in-country managers for Faculty and Event Management support resources who are in the Shared Service teams.

• Oversee annual and quarterly education requirements capture and prioritization, working closely with L&K Portfolio and L&K Shared Services teams.

• Ensure quality education delivery that meets the prioritized Geography requirements and fits within the budget envelope. This will requirement close collaboration with L&K Portfolio and L&K Shared Services teams, who will be responsible for staffing and delivering the education programs.

Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs.

• 10+ years of experience in a services environment, preferably technology consulting. Preference for candidates with both significant client service and learning leadership experience.

• Proven track record executing complex education deployment programs: Conferences, large and medium-sized face-to-face events, connected classrooms, virtual classrooms, self-studies, etc.

• Subject Matter Expertise in applied adult learning theory.

• Proven people and program management skills in complex environments, ensuring successful execution and alignment with organizational goals.

• Deep senior stakeholder management skills and experience.

• Ability to collaborate across a multi-dimensional matrix, working effectively with diverse teams and stakeholders across time zones

• Demonstrated leadership experience in a large-scale corporate education leadership role, including people management (preference in a services environment).

• Proven ability to influence and build effective relationships with senior business leaders.

• Exceptional written and verbal communication skills.

• Experience deploying education solutions in large, complex organizations.

• Substantial experience delivering training (as an instructor).

• Strong organizational skills with the ability to prioritize and manage multiple projects simultaneously.

• Proven experience working in cross-cultural, global, and virtual environments.

• Ability to keep multiple projects moving forward in parallel while maintaining focus on key objectives.

• Familiarity with L&K processes, systems, and tools (preferred).

• Relevant graduate degree preferred.

• Multilingual (Proficiency in Spanish and/or Portuguese valued).

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

City of Kirkland

$31.67 - $37.81 Hourly

Peter Kirk Pool - 340 Kirkland Ave, WA

Seasonal

202100734

Parks & Community Services - Aquatics Coordinator

02/11/2026

Continuous

Non-Exempt

N/A

Aquatics - Deep Water Exercise Instructor

Pay Rate: $31.67 - $37.81

If you're passionate about fitness, enjoy motivating others, and love working in the water, this could be the perfect opportunity for you! The City of Kirkland is seeking qualified instructors to teach deep water exercise classes at the Peter Kirk Pool.

Classes are held Monday and Wednesday evenings and Saturday mornings. This position is open to applicants 18 years of age and older with prior experience teaching group aquatic fitness classes. In this role, you will plan and lead safe, engaging workouts that include warm-ups, conditioning, strength and flexibility exercises, and cool-downs, while demonstrating routines and supporting participants throughout each class.

Instructors are responsible for maintaining a safe and welcoming environment and ensuring participants follow proper exercise techniques. Interested candidates are encouraged to apply as soon as possible, as positions are open until filled.

Deep Water Exercise Class Times: June, July & August

• Monday/Wednesday Evenings 7:00-8:00pm
• Saturday Mornings 9:30-10:30am & 10:45-11:45am

• Good communication skills are required.
• Ability to interact courteously with the public to acknowledge both compliments and complaints.
• Ability to work independently and as part of a team.
• Demonstrated good judgement in problem solving and responding to customer needs.
• Proficiency in standard computer software.

Minimum Qualifications

• Instructor Certification Required-Preferably: ACM, NSCA, ACE, NASM.
• Must possess or obtain current America Red Cross basic First Aid and CPR certification prior to start date.
• Minimum 18 years of age.
• Must successfully complete a thorough background check as required by the Child/Adult Abuse Information Act.

Working Conditions

Work is performed in a community pool setting, with high levels of noise and seasonal temperature extremes. Must have ability to lift and carry 50 lbs. Must be able to walk, climb, bend, and stoop to complete tasks.

Selection Process
Applicants who meet the minimum qualifications and requirements for the advertised position(s) will be invited by phone or email to interview. Position open until filled. First review of applicants 15 days after initial post.

Candidates who are selected to interview will be required to complete a criminal background check.

The City of Kirkland is a welcoming community where every person can thrive and grow. We value diversity, inclusion, belonging, and work together to support our community. We do this by solving problems, focusing on the customer, and respecting all people who come into the City whether to visit, live, or work. As an Equal Opportunity Employer, we are committed to creating a workforce that does not discriminate on the basis of race, sex, age, color, sexual orientation, religion, national origin, marital status, genetic information, veteran status, disability, or any other basis prohibited by federal, state or local law. We encourage qualified applicants of all backgrounds and identities to apply to our job postings. Persons with a disability who need reasonable accommodations in the application or testing process, or those needing this announcement in an alternative format, may call or Telecommunications Device for the Deaf at .

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

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• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
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  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

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• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Learning Experience Specialist.

Job Summary:

The Learning Experience Specialist for TAG University is part of the Learning Delivery & Experience team and responsible for organizing and coordinating the delivery of learning programs, both live and virtual, to ensure the learner experience is outstanding and impactful from beginning to end.

Learning Experience Specialists provide support to the greater L&D team through a shared service operating model, flexing between programs, functions, and audiences. They operate in a fast-paced environment, where there is an opportunity to have an impact every single day.

This role will partner closely with Facilitators, Program Managers, and key business partners to execute support for all learning programs. The Learning Experience Specialist will need to have a solid understanding of program goals and objectives, as well as learners’ and facilitators’ needs.

This person is action oriented, motivated to help others, and able to collaborate and maintain a strong network of partnerships. They must be exceptionally well organized, have strong problem-solving and execution skills, able to manage ambiguity, and operate with a customer service mindset. This role will report to the Director of Learning Delivery and Experience and is based in our world-class learning facility in Chicago, IL.

Essential Responsibilities

• Plan and execute end-to-end learning events—in-person and virtual—ensuring a seamless, outstanding learner experience from pre-event preparation through program close.
• Serve as the primary learner-facing presence throughout in-person programs, creating a welcoming environment and delivering attentive support that prioritizes participant accessibility and engagement.
• Prepare event logistics, including printed materials, swag, room configurations, and program-specific setup, ensuring every detail is thoughtfully anticipated and flawlessly executed.
• Act as the on-site hub for day-of operations, managing learner check-in, campus navigation as needed (and in partnership with the Manager, TAG U Campuses), accessibility needs, and real-time issue resolution while serving as the key liaison among facilitators, IT, Facilities, catering, and campus leadership throughout live programs.
• Serve as an internal consultant to the L&D team, generating innovative ideas that continuously elevate program quality, cultivate community, and meet or exceed experience standards.
• Proactively surface learner experience gaps and friction points, escalating trends to the Manager, TAG U Campuses as needed.
• Cultivate and maintain cross-functional partnerships with Events, Facilities, IT, and key business partners to co-create and deliver cohesive, exceptional learning experiences.
• Partner with the Manager, TAG U Campuses before, during, and after learning events to ensure all spaces are on-brand, fully prepared, and reset between sessions to consistently uphold learner experience standards.
• Support and operate learning technology for in-person and virtual sessions; train and coach L&D team members and business partners on relevant platforms to ensure consistent, capable delivery.
• Maintain accurate learning records in the Learning Management System, including completion tracking and CE credit submission.
• Flex into expanded coordination and learner support responsibilities during high-volume periods, and contribute to change management efforts by providing program coordination as needed.
• Other duties as assigned.

Requirements/Qualifications

• Education Level: Bachelor’s Degree or equivalent work experience is required.
• Professional experience of 1-2 years with transferrable skills in organizing and executing on programs and/or program work, managing logistics for customer/participant facing events or programs, project organization.
• Independent decision making aligned to support organizational goals and strategy.
• Specializes in performing tasks based upon functional areas related to service, quality and/or productivity.
• Seeks opportunity for continuous improvement.
• Strong written and verbal communication skills; ability to interact with individuals at all levels of the organization.
• Very detail-oriented with strong organizational skills.
• Proven analytical and problem-solving skills.
• Plans, organizes and executes tasks and activities with urgency.
• Highly proficient in Microsoft Office Suite – i.e., multiple Outlook accounts, Word, Excel, OneNote, PowerPoint, etc. and SharePoint.
• Operate office equipment, including copiers and computers.
• Required to meet position related productivity and quality standards along with all standard operating procedures set and communicated.

Additional Details:

• Base Pay Range: $60,000-$65,000 (Actual pay may vary based on experience, performance, and qualifications.)
• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
• This position will be based on-site in Chicago, IL, 4 days/week & 1 day remote.
• If you are an applicant residing in California, please view our privacy policy here:

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 50 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team at Aspen Dental as a Senior Manager, L&D, Non-Clinical.

Job Summary:

This Senior Manager is an important part of the Learning and Development team and has accountability for development strategies and programs for non-clinical team members. This role will report to the Director, L&D and partner closely with the Field leadership team to create and implement learning solutions and programming that support field team members at all stages of their development.

This Senior Manager is a proven leader who can effectively collaborate with the Field leadership team and other partners in Learning & Development and Human Resources. This leader is a strong performance consultant who can develop solutions and programming to build foundational to advanced knowledge, skills and abilities. This leader has experience orchestrating organizationally complex work and demonstrating business impact through data. This leader must also be hands-on with a willingness to analyze and build, unafraid to roll-up their sleeves to get projects done.

Essential Responsibilities:

• Partner with the Field leadership team and the broader L&D and HR teams to understand specific development needs for Aspen Dental field team members, including operations skill development, leadership and professional development and business management skills.
• Design, develop and deliver a suite of highly effective learning solutions, programs, tools and resources. Solutions may include formal learning programs, experiential learning assignments, coaching, etc.
• Create and enable successful learning plans for each role including PSC, OM, OL, RM and TD.
• Manage learning and development Field programs from end-to-end, design, development, communication, facilitation, implementation and program analysis.
• Drive a learning culture within the Field team.
• Understand the specific needs of each learner audience so you can advocate and adapt for their specific needs and preferences.
• Lead a team of end-to-end, non-clinical L&D professionals, providing direction, coaching and support to optimize the performance and potential of each team member.
• Evaluate existing Field programs/content for impact and alignment with organizational needs. Iterate and provide recommendations for learning experiences that increase reach, impact, and future capability requirements.
• Use data to measure success: learn, iterate, and improve; analyze trends and develop proactive actions to improve the experience for future learners.
• Serve as a Learning and Development thought partner. Proactively research and identify opportunities to apply new thinking to improve effectiveness and on the job performance. Stay in touch with learning field trends and best practices.
• Partner with others to solve business problems and execute learning and development initiatives.
• Other duties as assigned.

Requirements/Qualifications:

• Education Level: Bachelor’s degree required
• A minimum of 7+ years of relevant learning and development experience, ideally in a fast-paced organization with a distributed workforce.
• A minimum of 5 years project management experience using project management tools to manage medium to large scale content development projects.
• A minimum of 3+ years leading a team of L&D professionals.
• Advanced understanding of adult learning theory and principles.
• Highly developed skill in instructional design and implementing development programs for all audiences.
• Strong business insight, with the ability to credibly make a business case, by linking current and anticipated business challenges with learning and development solutions.
• Well versed in multiple applications of digital learning, just-in-time / micro-learning, and blended learning strategies.
• Strong capabilities in data analytics (as it pertains to measuring learning).
• Experience providing consultation to senior leadership on strategic initiatives.
• Excellent communication and influencing skills at all levels in the organization and extreme flexibility to be proactive in a fast paced, ever-changing environment.
• Excellent facilitation skills. Experience in small and large group facilitation in multiple modalities.
• Ability to travel as needed.

Starting at $119,000+ DOE with a 15% bonus

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match