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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.
US based applicants only$227,871—$469,147 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Position title:
Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
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.
Position description
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/
Qualifications
Basic qualifications (required at time of application)
*PhD (or equivalent international degree)
Additional qualifications (required at time of start)
*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
Preferred qualifications
*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
Application Requirements
Document requirements
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
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05256
Help contact:
About UC Berkeley
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
Job location
Berkeley, CA
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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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 more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.
We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.
What you will do:
- The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
- Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
- Deeply understand the Pinterest search product, and drive the vision for the team.
- Provide visibility for senior leadership into the team's global impact.
- Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
- Mentor and grow managers, leaders and engineers on the team.
- Build a culture of excellence and expertise.
What we are looking for:
- Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
- Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
- Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
- A knack for product and impact on users of a consumer product.
- 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
- Bachelors degree in computer science or related technical field, or equivalent experience
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.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
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. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.
What you'll do:
- Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
- Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Help the team solve difficult technical challenges such as:
- How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
- How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
- How to identify and remove biases from existing recommendation systems?
- How to experiment with and measure the impact of content acquisition changes on the user experience?
- How to enhance the titles of new content to increase their engagement?
What we're looking for:
- 7+ years of industry experience, including 2+ years of management experience.
- Experience with:
- developing and deploying large-scale machine learning systems in search and recommendations.
- big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
- applying NLP models and LLMs to content understanding and recommendation systems.
- Experience building and leading high performing teams within a visible business vertical .
- Experience working with numerous cross functional partners to drive a collective initiative.
- Bachelors degree in a technical field, or equivalent work 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
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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.
US based applicants only$189,308—$389,753 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Summary:
The Clinical Learning Operations Coordinator supports the delivery, management, and administration of clinical education programs. This role applies technical expertise to support digital learning, the hands-on capacity to support in-person learning events, and the organizational skills to support the administrative and logistical aspects of an education team. The Coordinator ensures that educational activities are well-organized, compliant with regulatory agencies, accessible, and aligned with clinical staff development goals.
Responsibilities:
- Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
Digital Learning Support
- Collaborates with system and ministry leaders to ensure the right courses are assigned to the right audience, and additional course activities are vetted and created as part of the system's standardized approach.
- Manages local user enrollment, troubleshooting, and reporting.
- Tracks learner progress, generates compliance reports, and provides analytics to leadership
- Supports faculty and staff with LMS usage, including uploading materials, managing virtual classrooms, and resolving technical issues.
- Fields local requests for new or existing content to be added to the LMS, including collaboration on new content creation based on need and approval.
- In collaboration with leadership, ensures LMS content meets accreditation, regulatory, and organizational standards.
- Facilitates the placement of in-person courses onto the digital learning management system (i.e., Transcripts, Course shells).
Learning Program Support
- Assists with planning, scheduling, and coordinating in-person (non-digital) clinical education programs, courses, workshops, and events.
- Prepares learning materials, rosters, evaluations, and certificates.
- Provides onsite or virtual support during training sessions (attendance tracking, technical setup, materials distribution).
- Collects and analyzes participant feedback to support program improvement.
- Supports in-person delivery of education as needed through the use of technology, quizzing tools, or other teaching adjuncts.
Administrative Support
- Serves as a point of ministry contact for learners, educators, and stakeholders regarding educational logistics.
- Maintains accurate documentation, records, and databases related to continuing education, workshops, and professional development initiatives.
- Provides logistical support such as ordering food, supplies, and room reservations for in-person workshops and courses.
- Support budget tracking, invoices, and vendor coordination as needed.
- Contributes to the streamlining of processes to improve efficiency in clinical education operations.
- Responsible for other related duties as assigned.
Job Requirements:
Education/Skills
- High school diploma or equivalent experience is required
- Strong technical skills with Microsoft Office Suite, virtual platforms (Zoom, Teams, WebEx), and database management required
- Excellent communication, organizational, and customer service skills required
- Adaptability and willingness to learn new technologies and systems required
Experience
- 2 - 4 years of experience in education administration, training coordination, or healthcare operations preferred
- Experience with Learning Management Systems (e.g., HealthStream, Cornerstone, Docebo, etc.) or equivalent experience required
- Ability to manage multiple priorities in a fast-paced, clinical education environment is required
- Attention to detail and accuracy in managing data required
- Strong problem-solving and troubleshooting abilities required
- Collaborative team player with a service-oriented mindset required
Licenses, Registrations, or Certifications
- None required
In accordance with the CHRISTUS Health License, Certification and Registration Verification Policy, all Associates are required to obtain the required certifications for their respective positions within the designated time frame.
Work Schedule:
5 Days - 8 Hours
Work Type:
Full Time
Earn a $2,000 monthly stipend while you finish the last 9 months of your RN education.
MercyOne will reimburse your board and licensure fees.
Once you have your licensure, start your career with MercyOne (18-month retention requirement).
Working as a PRN Student Nurse Tech during the program is optional
Essential Key Job Responsibilities:
Delivers assigned patient care and treatment as delegated by an RN or LPN.
Performs or assists patients with activities including personal hygiene, bathing, ambulation, transporting, range of motion exercises, dressing/undressing, feeding, changing bandages, elimination needs, and emptying drainage devices.
Responds to patient calls and anticipates patient needs.
Assures patient safety and comfort through use of safe patient handling techniques, regular rounding, environmental maintenance, equipment maintenance, and other appropriate safety measures.
Calculates intake and output (excluding IVs). Measures vital signs.
Performs bedside blood glucose testing.
Makes entries to patient health records as consistent with scope of job duties and in compliance with company policy.
Initiates or assists with emergency support measures (i.e., cardiopulmonary resuscitation, protecting patient from injury).
Performs post-mortem care.
Sets up equipment and supplies for procedures.
Prepares patients and rooms for procedures, admissions, and transfers.
Discharges patients from system.
Observes and reports information regarding any change in physical/mental condition, behavior, or status of the patient to the nurse.
Collects and labels specimens.
Sets up, operates, and maintains selected pieces of equipment.
Qualifications:
Currently enrolled in an accredited registered nursing program.
Must be 18 years of age.
Proof of completion of Mandatory Reporter – Child and/or Dependent Adult Abuse training within three (3) months of hire.
American Heart Association Basic Life Support (BLS) for Healthcare Providers certified within six (6) weeks of hire
Our Commitment
Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are 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, veteran status, or any other status protected by federal, state, or local law.
The Saint Alphonsus Medical Group (SAMG) is now hiring for a motivated and efficient Medical Assistant for our Clinical Support Team as a Float!
Position Summary & Highlights:MAs in the Clinical Support Team work at a variety of primary care and specialty clinics throughout the Treasure Valley, from Boise to Ontario, OR, that are needing staffing assistance.
The float position offers a great deal of variety and is a great way to learn about all of the different service areas and specialties of the Saint Alphonsus Medical Group.
Please make sure you meet the minimum requirements below before applying. CNA certification does not count towards MA certification. MA experience or schooling is required.
You will work in a team environment to promote a positive experience in patient care with compassion and kindness.
You will perform duties under the Medical Assistant scope of practice based on clinics' needs.
You will support and work under the supervision of the Physician and/or Advanced Practice Provider. Clinical oversight is provided by the RN Supervisor, Lead Nurse and/or SAMG Nursing Administration.
You will support efficient clinic flow along side a variety of Providers, Clinical Support and Front office staff and communicate accurately and positively with team members.
These are full-time positions, 40 hours per week.
Work shifts could be 5 - 8's, 4 - 10's, or 3 - 12's.
Work schedules will vary based on staffing needs in the clinics, but are around the hours of 7:00am - 5:00pm or later.
Availability is needed primarily Monday – Friday with an occasional weekend and holiday coverage needed.
These positions qualify for pay differentials.
Requirements:
High School Diploma or equivalent required at hire.
MA certification required within 90 days of hire from one of the following Saint Alphonsus approved agencies:
American Association of Medical Assistants (CMA)
American Medical Technologists (RMA)
National Healthcare Association (CCMA)
National Center for Competency Testing (NCMA)
National Association of Health Professionals (NRCMA)
American Medical Certification Association (CMAC)
National Phlebotomy Certification Examination (NPCE MA)
New Graduates: 1) MA certificate of completion required from an accredited program or school. 2) Completion of either a 100-hour MA externship or 6 months MA experience in lieu of the externship hours even with MA certification.
Medical Assistant with Experience: 1 Year of MA experience OR Current MA Certification OR obtain or renew certification within 90 days from hire from approved credentialing agencies listed above.
Basic Life Support for Healthcare providers certification from either AHA, ARC or the Military Training Network is required at hire.
*Obtaining the MA certification typically requires completing an MA Program or working as a Medical Assistant for at least 1 year. See each of the credentialing organization sites for additional details. EMT and CNA certifications will not count towards an MA certification.
When Saint Alphonsus takes care of you, you can take better care of our patients. We foster personal and professional growth and offer opportunities that empower our colleagues to develop their careers. Our belief in work-life balance compliments the natural beauty, diverse landscapes, and outdoor recreation lifestyle that is unique to Idaho and Oregon.
We offer market-competitive pay, generous PTO, and multiple options for comprehensive benefits that begin on day one.
Benefits for your future include retirement planning and matching, college savings plans for your family, and multiple life insurance plans that can change as your needs develop.
We are proud to offer Employee Assistance Programs, tuition reimbursement, and educational opportunities to help you learn and grow.
Visit to learn more!
Saint Alphonsus Facility Information:Saint Alphonsus Health System is a faith-based ministry and not-for-profit health system serving Idaho, Oregon, and northern Nevada communities. The health system boasts 4 hospitals, 609 licensed beds, and 73 clinic locations. Through innovative technologies, compassionate staff, and healing environments, Saint Alphonsus' goal is to improve the health and well-being of people by emphasizing care that is patient-centered, physician-led, innovative, and community-based.
Forbes America's Best Large Employers 2025;
Forbes America's Best Employers for Healthcare Professionals 2025;
Top 15 Health Systems in the country by IBM Watson Health;
The region’s most advanced Trauma Center (Level II);
Commission on Cancer Accredited Program through demonstrating an uncompromising commitment to improving patient survival and quality of life.
Our Commitment
Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are 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, veteran status, or any other status protected by federal, state, or local law.
