Collaborative Filtering Machine Learning Model Jobs Full Time Jobs in Usa
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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.
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.
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.
Research Engineer – Applied Machine Learning
Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.
We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.
Responsibilities:
• Prototype and optimize algorithms in computer vision and machine learning.
• Build scalable training and inference pipelines on cloud platforms (AWS EKS).
• Perform data curation, model evaluation, and system integration.
• Collaborate with academic and government research partners.
Requirements:
• BS or MS in Computer Science, Engineering, Applied Math, or related field.
• Experience with PyTorch or TensorFlow and scalable model training.
• Strong background in algorithms and software design.
• Excellent communication and technical writing skills.
• U.S. Citizen or Permanent Resident.
Preferred:
• Experience with geospatial data (PostGIS, GeoJSON, QGIS).
• Familiarity with Kubernetes and distributed data systems.
Why Novateur?
Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.
Company Benefits:
Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.
We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
General facility maintenance and repair duties as directed. Pneumatic and direct digital control experience. Knowledge of air conditioning and refrigeration including ice machines. Experienced in troubleshooting and repair of HVAC equipment. Ability to cut and thread pipe to meet base fabrication needs. Maintain and install filter systems. Some knowledge of medical gas systems. Install and maintain circulating pumps. Knowledge of high-pressure steam boilers and delivery systems. Estimate and requisition materials needed for projects. Working knowledge of OSHA, State, DOH and Hospital Safety Standards. Ability to analyze and troubleshoot Electrical controls. Additional electrical experience is helpful. Experienced in all forms of soldering. Ability to understand and complete preventative maintenance programs. Be able to perform heavy lifting and climbing. Ability to perform snow removal duties including shoveling salting and working knowledge of snow plow operations. Strong self-motivation is expected.
Core Job Responsibilities
- 55% Work order response: but not limited to area temperature problems throughout the Facility. Replacing/repairing pump and circulators. Repairing and charging refrigerant systems. Adding or moving equipment for construction projects.
- 25% Preventive maintenance duties: Typical but not limited to filter changes, coil cleaning, and belt changes. Ice machine cleaning and service.
- 10% Compliance with regulatory responsibilities: Ensure appropriate function is maintained to comply with various regulatory agencies. Refrigerant reclaiming, and Fire barrier repair.
- 10% Quality Improvement: to look for ways to improve the patient/visitor experience. Update heating and cooling systems. Modifying or move HVAC components or sensors for improve comfort.
Education/Experience Requirements
Required:
- High School or equivalent,
- 5 years of HVAC Experience
Preferred:
- Associates or higher degree
- 3-5 years of Healthcare Facilities or Trade Experience
Licensure/Certification Requirements
Required:
- Universal Refrigerant Reclaiming license
Disclaimer
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Job Details
Req Id 89077
Department ENGINEERING
Shift Days
Shift Hours Worked 7.50
FTE 0.94
Work Schedule UFCSM
Employee Status A1 - Full-Time
Union 2006 - UFCW
Pay Range $21 - $27 Hourly
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.
What you'll do:
- Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
- Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
- Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
- Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
- Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
- Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
What we're looking for:
- Strong production Python skills and experience building simulation or modeling systems
- Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
- Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
- Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
- Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
- Clear written communication: you'll be defining new technical directions and need to bring others along
- Ownership: you scope, design, and ship systems end-to-end with minimal direction
- Nice-to-Haves:
- Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
- Experience with discrete event simulation, Monte Carlo methods, or digital twins
- Reinforcement learning - using simulated environments for policy learning and evaluation
- Experience building agentic AI systems or multi-agent simulations
- Big data experience with Scala and Spark
- Systems programming experience in Zig or similar (C, C++, Rust)
- MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
In-Office Requirement Statement:
- 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 our PinFlex page to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$123,696—$254,667 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
#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.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Title: Machine Learning Engineer
Location: San Jose, CA
Responsibilities:
- Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
- Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
- Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
- Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
- Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
- Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
- Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.
Educational Qualifications:
- Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
- Strong systems/ML engineering with exposure to distributed training and inference optimization.
Industry Experience:
- 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
- Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
- Experience collaborating across Research, Platform/Infra, Data, and Product functions.
Technical Skills:
- Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
- Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
- Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
- Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
- Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
- Write performant, maintainable code
- Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Remote working/work at home options are available for this role.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Title: AI Research Scientist
Location: San Jose, CA
Responsibilities:
- Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
- Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
- Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
- Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
- Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
- Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
- Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
- Contribute to academic publications and represent the company in research communities, as needed.
Educational Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
- Candidates with a master’s degree and exceptional research or industry experience will also be considered.
Industry Experience:
- 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
- Demonstrated success in delivering research-driven solutions that have been deployed in production.
- Experience collaborating in cross-functional teams across research, engineering, and product.
- Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.
Technical Skills:
- Strong foundational knowledge in machine learning and deep learning algorithms.
- Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
- Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
- Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
- Advanced programming skills in Python (preferred), C++, or Java.
- Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
- Strong mathematical foundations in probability, linear algebra, and calculus.
- Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
- Ability to translate research insights into roadmaps, technical specifications, and product improvements.
AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA
Remote working/work at home options are available for this role.
