Pinterest
Verified live 11h ago
Machine Learning Engineer, Core Engineering
Brief overview
United StatesIn-person
UndergradOr in progress
$139k–$286k/yrStated range
2+ yrsMinimum
726 H-1B approvalsDept. of Labor
231 green cardsCertified filings
User modelingPersonalizationRecommender systemsSearchRankingNatural language processingReinforcement learningGraph representation learningBuilding data processing pipelinesLarge scale machine learning systemsBig data technologies (e.g., Hadoop/Spark)Scalable realtime systemsStream data processingApplied MLLLM-powered productivity toolsDocumentation searchExperiment analysis
About the company
Pinterestpinterest.com
Operates a visual discovery engine for finding creative ideas.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.726H-1B approved
99%approval rate
155new H-1B hires
231PERM certified
$165,412median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023156
2024225
2025301
202644
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202377
202468
202569
202638
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202345
202461
2025115
202610
Top sponsored roles
Machine Learning Engineer IISoftware Engineer IISr. Machine Learning EngineerSr. Software EngineerStaff Machine Learning Engineer
Sponsored employees from
ChinaIndiaCanadaTaiwanMexico
Job description
Summary
Pinterest is a platform that inspires creativity and helps users plan for memorable experiences. They are seeking a Machine Learning Engineer to build cutting edge technology and improve ML models across various product surfaces, contributing to large-scale recommendation systems.
Responsibilities
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
Skills
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Qualifications
Must Haves
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
Nice to Haves
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Benefits
- Equity
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