{"id":2110021,"url":"https://alion.io/job/handshake-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":5000,"name":"Handshake","domain":"joinhandshake.com","url":"https://alion.io/company/handshake","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":189000,"currency":"USD","period":"year","gross":null,"usd_annual":189000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scale AI","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Explainable AI","optional":true},{"name":"GCP","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-08T20:48:27Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T09:08:09Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Handshake\nHandshake 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.\nIn 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 0to~1B run rate and pay ~$60M to over 30K individuals every month.\nWhy join Handshake now:\nShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel\n\nPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions\n\nWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders\n\nBuild a massive, fast-growing business with billions in revenue\n\nAbout the Role\nHandshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.\nYou'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.\nWhat You'll Do\nInnovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization - with guidance from senior engineers.\n\nCollaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.\n\nLearner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.\n\nDesired Capabilities\nBachelor’s degree in Computer Science, Data Science, or a related field\n\n1-3 years of experience in machine learning, data science, or a related area\n\nProficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow\n\nExperience with deploying and evaluating agentic workflows\n\nStrong foundation in core ML concepts, including classification, regression, ranking, and model evaluation\n\nExtra Credit\nMaster’s degree or currently pursuing an advanced degree in a relevant field\n\nExposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI\n\nFamiliarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)\n\nExperience with cloud platforms (GCP, AWS, or Azure)\n\nClear communicator, able to translate technical work for diverse audiences\n\nCollaborative mindset with experience working cross-functionally with product, analytics, and engineering teams\n\nPerks\nHandshake delivers benefits that help you feel supported-and thrive at work and in life.\nThe below benefits are for full-time US employees.\nOwnership: Equity in a fast-growing company\nFinancial Wellness: 401(k) match, competitive compensation, financial coaching\nFamily Support: Paid parental leave, fertility benefits, parental coaching\nWellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend\nGrowth: $2,000 learning stipend, ongoing development\nRemote & Office: Internet, commuting, and free lunch/gym in our SF office","description_format":"text","description_chars":4049,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-08T21:56:20Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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