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HomeCompaniesHandshakeMachine Learning Engineer I

Machine Learning Engineer I

Handshake · San Francisco, CA · Remote · Deleted · Ashby

Job facts

FieldValue
CompanyHandshake
TitleMachine Learning Engineer I
Normalized title-
Department / teamEngineering / Engineering
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusdeleted
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-31 / 2026-05-29

Related slices

PageWhat it containsOpen
Company jobsActive postings from Handshake.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHandshake
Sourcec8988f28-6b0c-4b8a-90fd-39fa34301968
ATS providerAshby

Description

About Handshake Handshake 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 now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human 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 ML Opportunity at Handshake: Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every student deserves to be seen, not just by any employer, but by the right one. Machine learning is how we personalize discovery, match intent with opportunity, and drive better outcomes at scale. What Makes This Role Unique: End-to-end ownership: You'll work on the entire ML lifecycle, from data to deployment, not just one part Product impact: Your ML systems directly impact millions of users and drive critical business metrics Cutting-edge infrastructure: Work with embedding-based retrieval, Graph Neural Networks, and multi-stage rankers Responsible AI: Contribute to explainability, fairness, and quality practices Scale: Billions of data points powering our ML systems World-class team: Leadership from Scale AI, OpenAI, xAI, Notion, Coinbase, and Palantir What You'll Do Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers. Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience. Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment. Desired Capabilities Bachelor’s or advanced degree in Computer Science, Data Science, or a related field 3 years of experience in machine learning, data science, or a related area Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation Extra Credit Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines) Experience with cloud platforms (GCP, AWS, or Azure) Clear communicator, able to translate technical work for diverse audiences Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness : 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers .

Full job record

Job IDfc9f1bae5b6da9cb692390b4d871e0c7a2ef11d7
Org ID06eff2f8-72c2-4099-a963-44eed5abf3a7
Source IDc8988f28-6b0c-4b8a-90fd-39fa34301968
Board IDc8988f28-6b0c-4b8a-90fd-39fa34301968
Providerashby
Provider Job Keydd1fd4fc-6f6d-4a3d-8c54-dd91ed48dd70
TitleMachine Learning Engineer I
Normalized Title
Statusdeleted
Activeno
Location TextSan Francisco, CA
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/handshake/dd1fd4fc-6f6d-4a3d-8c54-dd91ed48dd70
Apply URLhttps://jobs.ashbyhq.com/handshake/dd1fd4fc-6f6d-4a3d-8c54-dd91ed48dd70/application
First Seen At2026-05-29 06:43:08Z
Last Seen At2026-05-29 06:43:08Z
Last Checked At2026-05-31 14:18:31Z
Last Changed At2026-05-31 14:18:31Z
Inactive At2026-05-31 14:18:31Z
Source Posted At
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ashby/board=handshake/date=2026-05-29/2026-05-29T06-41-48-370Z-9b20c1653c3c42c2453ca2ffae8adfad4a0219d408383a4c2413a9fadceeef1b.json
Event Fields
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  "active_status": "deleted"
}
Parsed Structured
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  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "title": "Machine Learning Engineer I",
  "jobUrl": "https://jobs.ashbyhq.com/handshake/dd1fd4fc-6f6d-4a3d-8c54-dd91ed48dd70",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/handshake/dd1fd4fc-6f6d-4a3d-8c54-dd91ed48dd70/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco, CA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": null,
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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