{"schemaVersion":"jobsearcher.job.v1","id":"5ec79cdc9f2d450b8da9d55a","url":"https://jobsearcher.com/jobs/5ec79cdc9f2d450b8da9d55a","canonicalUrl":"https://jobsearcher.com/jobs/5ec79cdc9f2d450b8da9d55a","title":"Machine Learning Engineer, PhD Intern","description":"About HandshakeHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.Why Join Handshake NowShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC foundersBuild a massive, fast-growing business with billions in revenueAbout Handshake AIHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.The RoleAs a Machine Learning Engineering Intern, you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.This is a paid, full-time summer internship with two cohort options:May 18 – August 7, 2026June 15 – September 4, 2026 In This Role, You WillPartner with senior engineers and data scientists to develop machine learning models that improve product features and user experienceContribute to experimentation, model evaluation, and performance monitoringParticipate in technical discussions, brainstorming sessions, and team reviewsDocument methodologies and findings to support knowledge sharing and long-term system improvementsYou HaveMust-HavesCurrently pursuing a Doctorate degree in Computer Science, Data Science, or a related fieldExperience in supervised and/or unsupervised machine learning, ML operationsHave strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlowHave exposure to software engineering best practices (version control, testing, code reviews)Have familiarity with data analysis techniques and experience with SQLHave strong problem-solving skills and the ability to work in a collaborative team environmentHave strong communication skills and are able to explain technical concepts effectivelyBonus PointsExperience with cloud platforms such as AWS, Google Cloud, or AzureExposure to research in Large Language Models or Reinforcement Learning is a strong plus.Publications at leading conferences such as SIGIR, KDD, WSDM, RecSysExperience with modern coding tools like Cursor/Claude code/CodexPrior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systemsWe OfferHandshake provides benefits that help you feel supported and thrive at work and in life.(The below benefits apply to US-based interns.)💰 Competitive hourly compensation📚 Mentorship and hands-on learning from experienced ML engineers💻 5 days/week in-office experience🤝 Structured intern programming and team eventsExplore our mission, values, and open roles at joinhandshake.com/careers.","company":"Handshake","rawCompany":"handshake","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-30T13:03:58.544Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, PhD Intern","description":"About HandshakeHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.Why Join Handshake NowShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC foundersBuild a massive, fast-growing business with billions in revenueAbout Handshake AIHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.The RoleAs a Machine Learning Engineering Intern, you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.This is a paid, full-time summer internship with two cohort options:May 18 – August 7, 2026June 15 – September 4, 2026 In This Role, You WillPartner with senior engineers and data scientists to develop machine learning models that improve product features and user experienceContribute to experimentation, model evaluation, and performance monitoringParticipate in technical discussions, brainstorming sessions, and team reviewsDocument methodologies and findings to support knowledge sharing and long-term system improvementsYou HaveMust-HavesCurrently pursuing a Doctorate degree in Computer Science, Data Science, or a related fieldExperience in supervised and/or unsupervised machine learning, ML operationsHave strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlowHave exposure to software engineering best practices (version control, testing, code reviews)Have familiarity with data analysis techniques and experience with SQLHave strong problem-solving skills and the ability to work in a collaborative team environmentHave strong communication skills and are able to explain technical concepts effectivelyBonus PointsExperience with cloud platforms such as AWS, Google Cloud, or AzureExposure to research in Large Language Models or Reinforcement Learning is a strong plus.Publications at leading conferences such as SIGIR, KDD, WSDM, RecSysExperience with modern coding tools like Cursor/Claude code/CodexPrior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systemsWe OfferHandshake provides benefits that help you feel supported and thrive at work and in life.(The below benefits apply to US-based interns.)💰 Competitive hourly compensation📚 Mentorship and hands-on learning from experienced ML engineers💻 5 days/week in-office experience🤝 Structured intern programming and team eventsExplore our mission, values, and open roles at joinhandshake.com/careers.","datePosted":"2026-04-30T13:03:58.544Z","dateModified":"2026-04-30T13:03:58.544Z","hiringOrganization":{"@type":"Organization","name":"Handshake","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5ec79cdc9f2d450b8da9d55a"},"url":"https://jobsearcher.com/jobs/5ec79cdc9f2d450b8da9d55a"}}