{"id":"7166845744","title":"PhD Machine Learning Engineer, New Grad","posted_at":"2026-04-24T21:24:31.000Z","apply_url":"https://job-boards.greenhouse.io/stripe/jobs/7216668","locations":["San Francisco, CA"],"employment_type":null,"workplace_type":null,"seniority_level":"new_grad","description_language":"en","source_name":"greenhouse","source_url":"https://stripe.com/jobs/search?gh_jid=7216668","salary":null,"job_summary":"Stripe is a financial infrastructure platform that enables businesses to accept payments and manage their revenue globally. This role is a new graduate PhD machine learning engineering position focused on developing large-scale ML systems and foundation models to enhance Stripe's financial products.","job_description":{"responsibilities":["Develop and deploy large-scale machine learning systems that drive significant business value.","Manage the end-to-end process of designing, training, improving, and launching machine learning models.","Write production-scale ML models to support global economic infrastructure.","Collaborate across teams to incorporate feedback and solve complex challenges.","Rapidly learn new technologies and communicate work status effectively."],"minimum_qualifications":["PhD in Computer Science, Machine Learning, or a closely related field with graduation in winter 2025 or spring/summer 2026.","Practical experience with programming and machine learning via projects, classwork, or research.","Familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.","Expertise in supervised and unsupervised learning, ML operations, and potentially LLMs or Reinforcement Learning.","Demonstrated ability to work on collaborative projects and apply stakeholder feedback.","Proactive approach to learning unfamiliar systems independently."],"preferred_qualifications":["Two years of university education or equivalent experience with domain-specific ML knowledge.","Published and presented peer-reviewed articles in top-tier venues.","Experience writing high-quality pull requests, maintaining test coverage, and completing projects with minimal defects.","Familiarity with navigating new codebases and managing work across different programming languages.","Excellent written communication skills for technical and non-technical audiences."]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":null,"job_state":null,"job_country":null,"location_lat":37.6624348,"location_lng":-122.38367799999999,"keywords":["foundation models","machine learning","infrastructure","user behavior","communication","stakeholders","high-quality","stakeholder","Collaborate","large-scale","engineering","end-to-end","operations","production","ML models","Platform","business","LinkedIn","research","revenue","writing","website","develop","global","deploy","Pandas","Python","GitHub","teams","Spark","NumPy","Scala","data","LLMs","ML"],"company":{"name":"Stripe","logo_url":"https://img.logo.dev/stripe.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Stripe is a financial infrastructure platform that helps businesses accept payments, grow revenue, and accelerate new business opportunities.","website_url":"https://stripe.com","linkedin_url":"https://linkedin.com/company/stripe","glassdoor_url":"https://www.glassdoor.com/Reviews/Stripe-Reviews-E671932.htm","x_url":"https://twitter.com/stripe","instagram_url":"https://www.instagram.com/stripehq/","youtube_url":"https://www.youtube.com/c/stripe","github_url":"https://github.com/stripe","huggingface_url":null,"tiktok_url":"https://www.tiktok.com/@stripe","crunchbase_url":"https://www.crunchbase.com/organization/stripe","facebook_url":"https://www.facebook.com/StripeHQ/","employee_count_range":"5001-10000","employee_count":8500,"founded_year":2010,"headquarters":{"address":"354 Oyster Point Blvd, South San Francisco, CA 94080","city":"South San Francisco, CA","country":"US","lat":37.6618456,"lng":-122.38309319999998},"industry":"fintech","company_type":"startup","total_funding_usd":9419000000,"locations":["Amsterdam, Netherlands","Andorra","Atlanta, GA","Atlanta, GA or Chicago","Barcelona, Catalonia","Barcelona, Spain","Bengaluru","Bengaluru, India","Berlin","Berlin, Germany","Brussels","Bucharest, Romania","CA-Toronto","CDMX","CHI and DUB","CHI, NYC","CHI, SEA","CHI, SF","Chicago","Chicago, IL","Chicago, IL or New York","Chicago, IL.","DC, SF","Dubai Emirate, UAE","Dubai, UAE","Dubin","Dublin","Dublin OR London","Dublin, Ireland","Germany","Hong Kong, Hong Kong","Hq, SF","Kuala Lumpur, Malaysia","London","London - United Kingdom","London, UK","London, United Kingdom","Luxembourg City, Luxembourg","MX- Mexico City","Madrid","Madrid, Spain","Melbourne, Australia","Mexico City, Mexico","Milan, Italy","NY, CHI","NYC","NYC, SF","New York, NY","Paris, France","SEA, SF","SF","SF or NYC","SF, NY","SF, NYC","SF, SEA","SF, Seattle","San Francisco Or New York","San Francisco or New York","San Francisco, CA","San Fransisco, NY","Seattle","Seattle, SF","Seattle, San Francisco","Seattle, WA","Sf","Singapore","Singapore, Tokyo","South San Francisco, CA","Stockholm, Sweden","Sweden, Dublin","Sydney","Sydney Or Melbourne","Sydney or Melbourne","Sydney, Australia","São Paulo, Brazil","TOR","Tokyo","Tokyo, Japan","Toronto","Toronto, Canada","U.S.","US, Canada","US-NYC","US-New York, US-Chicago","US-SEA, US-SF","US-San Francisco","Us-Ny","Us-Nyc"]}}