Reinforcement Learning Collaborative Filtering Jobs in Usa

About the Role

The Licensing & Collaborations Manager is a key member of the licensing team, responsible for driving operational excellence and supporting the execution of licensed product and collaboration initiatives.

This role partners closely with internal cross-functional teams and external partners to ensure projects move forward efficiently, accurately, and on time.

This position is ideal for someone with strong project management instincts, operational discipline, and a working knowledge of product or merchandising workflows. The work performed in this role directly supports the success and scalability of the licensing and collaborations business.

You’ll Make a Difference By

Licensing Operations & Project Management

• Managing day-to-day operations for licensing initiatives, including timelines, deliverables, approvals, and documentation
• Owning project tracking across licensed partners, ensuring milestones, calendars, and deliverables are met
• Serving as the central point of coordination for licensing activities, partner communications, and internal approvals
• Maintaining licensing calendars, trackers, and dashboards to provide visibility and accountability across projects

Collaborations Management

• Coordinating and managing collaborations with external partners and brands
• Working closely with collaboration partners to align on timelines, deliverables, approvals, and product requirements
• Managing the end-to-end collaboration process between external partners and internal product teams
• Acting as the primary liaison to ensure clear communication, workflow alignment, and issue resolution across stakeholders
• Supporting successful collaboration launches by driving accountability and cross-functional coordination

Cross-Functional Collaboration

• Partnering closely with Legal, Product, Merchandising, Compliance, Marketing, DTC, and Business Development teams to ensure seamless execution of licensing and collaboration workflows
• Acting as a liaison between licensors, licensees, collaboration partners, and third-party stakeholders to support alignment and resolve issues
• Supporting DTC teams with licensed and collaboration product coordination, timelines, and launch readiness

Data, Systems & Process Optimization

• Maintaining accurate data within licensing systems and databases; ensuring data integrity and version control
• Generating regular reports and analytics related to license status, compliance, KPIs, and partner performance
• Assisting in audits, reviews, and compliance checks as needed
• Identifying opportunities to streamline workflows, improve operational efficiency, and reduce risk
• Supporting the creation and maintenance of SOPs, checklists, templates, and best practices

Vendor & Partner Support

• Supporting vendor and third-party relationships related to licensing and collaborations, including regulatory consultants, application portals, and agencies
• Ensuring consistent application of internal policies, operational standards, and regulatory requirements

Additional Responsibilities

• Supporting special projects and process improvement initiatives within the licensing and collaborations function
• Assisting with other responsibilities based on business needs

About You

• 3+ years of experience in operations, project coordination, licensing, partnerships, or related roles; consumer goods or product-driven environments preferred
• Background or working knowledge of product development, merchandising, or retail workflows strongly preferred
• Proven project management skills with the ability to manage multiple priorities in a fast-paced environment
• Strong organizational skills and high attention to detail
• Excellent written and verbal communication skills
• Comfortable working cross-functionally and managing external partners
• Experience working with regulatory bodies or government agencies is a plus.
• Self-starter with a proactive, solutions-oriented mindset
• Merchandising experience or a strong understanding of product assortment planning, line architecture, and retail or DTC workflows is a plus

About Ariat

Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style.

The salary range for this position is $85,000 - $95,000 per year.

The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future.

Ariat’s holistic benefits package for full-time team members includes (but is not limited to):

• Medical, dental, vision, and life insurance options
• Expanded wellness and mental health benefits
• Paid time off (PTO), paid holidays, and paid volunteer days
• 401(k) with company match
• Bonus incentive plans
• Team member discount on Ariat merchandise

Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice.

Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email

Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information.

Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

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 helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

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.

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:

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:

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
  

Who We Are

The International Warehouse Logistics Association (IWLA) is a trade association dedicated to supporting warehouse logistics providers across North America. We are elevating our educational portfolio, modernizing our LMS and digital learning infrastructure, and building meaningful learning experiences that help members grow. Our team values collaboration, service, clarity, and continuous improvement.

Who We Seek

We are looking for an LMS & Curriculum Development Manager who is passionate about adult learning, digital learning systems, and creating high‑quality educational experiences for industry professionals. This role is ideal for someone who enjoys organizing complex content, working with subject matter experts, and building structured, scalable learning pathways. If you are service‑oriented, detail‑driven, and energized by supporting members and events, we want to hear from you!

What You Will Do

• Manage and optimize IWLA’s Learning Management System (LMS).
• Develop and maintain curriculum frameworks, learning pathways, and certificate programs.
• Collaborate with subject matter experts (SMEs) to source, review, and improve learning content.
• Lead the development of IWLA’s Essentials Certificate Program.
• Support educational programming for IWLA’s Annual Convention and live events.
• Assist in session planning, presenter support, and ensuring a positive member experience.
• Analyze LMS data to evaluate program effectiveness and implement improvements.
• Create structure, organize content, and uphold quality standards across all learning products.
• Stay current on adult learning practices, adult learning theory, and association education trends.

What You Will Need

• 3–5+ years of experience in adult learning, L&D, LMS administration, or digital learning operations.
• Hands-on experience managing or configuring an LMS (any platform).
• Strong understanding of adult learning theory and professional learning design.
• Experience collaborating with SMEs, speakers, or industry contributors.
• Excellent communication, organization, and judgment.
• Ability to manage multiple projects and meet deadlines with consistency.
• A service‑focused, team‑oriented approach to work.
• Bachelor’s degree in Education, Instructional Design, L&D, or related field preferred.
• Willingness to attend IWLA events and support onsite learning experiences.
• Bilingual candidates encouraged to apply.

What We Offer

• An engaging role shaping IWLA’s growing digital learning ecosystem.
• Opportunities to build and refine curriculum, certificates, and learning pathways.
• A collaborative, mission-driven team with support from IWLA leadership.
• Exposure to LMS platforms, adult learning strategy, SME relationships, and association education.
• No-cost health benefits, dental, vision, life, disability insurance, and employee assistance program.
• 401(k) matching and financial education resources.
• 22 Work From Home Days.
• Professional development support and opportunities for advancement.

Job Type & Compensation

Job Type: Full-time

Pay: $76,000 - $90,000

Expected Hours: 40 per week

Location: Schaumburg, IL (On-Site)

Travel: Up to 20% annually (Annual Convention + education events)

Benefits:

• 401(k) 6% Match
• Dental insurance
• Employee assistance program
• Health insurance
• Life insurance
• On-site gym
• Paid time off
• Vision insurance

Experience:

• Non-profit accounting: 1 year (Preferred)

Work Location: Schaumburg, IL 60173

• In person (Required)

Avenir Women’s Health, our flagship hospitalist program, supports two robust hospitals in the Las Vegas/Henderson area. We are an OB hospitalist program that is patient-focused and evidence-based. We strive to provide an optimal level of care placing emphasis on patient safety, quality, and customer service. We are redefining the future of women’s health.

Hera Women’s Health is a national collaborative practice of professionals advancing the next era of women’s health. As an innovative women's healthcare group in Nevada, we are looking to add superior OBGYN hospitalists to our already impressive roster of providers. In our groundbreaking model you will not only be supported by fellow hospitalists and practice OBGYNs, but also one of the largest MFM community practices in the country. Through a combination of value-based results and efficient protocols, we aim to provide better outcomes which exceed the standard of care and result in better outcomes for patient and baby. 

• New program rates & sign-on bonus!
• Beautiful medical centers with state-of-the-art birthing center staffed with one of the most experienced and skilled teams in Nevada
• Full-time: 10-14 twelve-hour shifts per month
• Sunrise Hospital & Medical Center - Level III NICU
• Dignity Health St. Rose Dominican Hospital - Siena Campus - Level III NICU
• Close interaction, 24/7 support, and collaboration from our local MFM practice -integration with this team is key to how we operate!
• Opportunities for teaching residents, hospital staff and others
• Plus, opportunities to continue to learn and grow yourself with specific programs and initiatives including:
• Fetal monitoring certification
• Transvaginal cervical length (TVCL) assessment training with our MFMs
• BLS certification
• Opportunity to attend the critical care obstetrics course by the SMFM
• Basic OB ultrasound skills training with our MFMs
• Implicit bias training to reduce provider-related healthcare inequity
• Link to MFM practice with excellent infrastructure with EHR, voice dictation, PACS, genetic counselors, advanced practitioners, and top-of-the-line ultrasound equipment and specialists trained in detailed anatomic ultrasound, and fetal echocardiography.
• An opportunity to make a positive impact with community OB/GYNs and make system-wide improvements

Requirements:

• Medical degree from an accredited medical school
• Board certification in Obstetrics and Gynecology
• Valid medical license/ability to get medical license to practice in the state of Nevada
• Proven experience as an OB/GYN Physician
• Excellent clinical skills and ability to provide compassionate patient care
• Strong communication and interpersonal skills, comfortable working on a team
• Commitment to continuous learning and professional development

Benefits:

• Competitive salary including holiday shift pay and performance incentives enhanced by lack of state income tax
• Health, dental and vision insurance (with some plans offered at no cost to you or your family)
• 401(K) with an annual matching program after one year of service
• Paid time off (PTO)
• Malpractice Coverage
• Continuing medical education stipend in addition to opportunities and support for professional development
• Relocation assistance (if applicable)
• Opportunity to work in a collaborative and supportive team environment

Living in greater Las Vegas:

• No state income tax!
• Abundant cultural arts experiences: museums, galleries, live performances and the downtown Las Vegas Arts District
• First-in-class Spas, in addition to Celebrity Chef Dining, world class shopping and an outdoor enthusiast’s dream location
• Master planned residential communities offering diverse amenities, including Henderson, Summerlin, Paradise, Sunrise Manor and The Lakes
• Enjoy day trips to: The Grand Canyon, Valley of the Fire State Park, Zion National Park, Red Rock Canyon, Hoover Dam, Death Valley National Park, Antelope Canyon, Bryce Canyon National Park, Lake Mead, Horseshoe Bend
• Abundant sunshine boasting over 300 sunny days, warm transitional seasons, and short winters offering mild day-time temperatures and cool nights 

Location : Las Vegas/Henderson metro area
According to Forbes, CNN Money, and Bloomberg, Henderson, NV, might just be the best city to live. It has been ranked as one of the top cities to live in America, praised for its safety, and named one of the best places to retire. Good cost of living, more than 300 days of sunshine every year, and great outdoor spaces make it a spot you must consider!