{"id":3545151,"url":"https://alion.io/job/stripe-masters-machine-learning-engineer-intern","title":"Master's Machine Learning Engineer, Intern","company":{"id":64,"name":"Stripe","domain":"stripe.com","url":"https://alion.io/company/stripe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":77,"open_postings":129,"ghost_share":0.031,"stale_share":0.589,"repost_share":0.062,"time_to_fill_p50_days":63,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-30T16:19:21Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T02:40:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we are\nAbout Stripe\nStripe is a financial infrastructure platform for businesses. Millions of companies-from the world’s largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.\nWhat you’ll do\nAbout the internship\nStripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.\nAs an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.\nResponsibilities\nDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.\nEngage in the end-to-end process of designing, training, improving, and launching machine learning models.\nWrite production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.\nCollaborate across teams to incorporate feedback and proactively seek solutions to challenges.\nRapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.\nWho you are\nMinimum requirements\nA deep understanding of computer science, obtained through the pursuit of a Master's degree in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2027 or spring/summer 2028.\nPractical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.\nExpertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.\nDemonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.\nA proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.\nIntent to return to the degree-program after the completion of the internship/co-op.\n\nPreferred qualifications\nYou Might Also Have:\nTwo years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.\nPublished and presented peer-reviewed articles in top-tier venues.\nExperience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.\nFamiliarity with navigating new codebases and managing work across different programming languages.\nExcellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.\nApplication requirements\nPlease submit the following with your application:\nA detailed resume or LinkedIn profile showcasing your work history.\nExamples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.\nJoin us for an unforgettable summer internship and help shape the future of global commerce. 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