Jobs Companies Handshake Machine Learning Engineer I

À propos de ce poste Machine Learning Engineer I chez Handshake

Handshake · Sur site · San Francisco, CA

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.

About the Role

Handshake 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.

You'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.

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 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

  • Master’s degree or currently pursuing an advanced degree in a relevant field

  • 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.

Prêt à postuler chez Handshake ?
Postuler chez Handshake

Comment se compare ce salaire pour ML Engineer

Ce poste paie $170,000/yren dessous de la fourchette habituelle pour les postes ML Engineer.

$170,000 la médiane $252,000 $348,509

Fourchette typique $204,500–$296,200/yr, à partir de 93 annonces ML Engineer comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour ML Engineer →

Emplois similaires

Stitch Fix
ML Platform Engineer
Stitch Fix
⚡ Postuler tôt Remote, USA · lieu restreint $136,000–$167,000
● Nouveau 👁 Vu ✓ Postulé il y a 5 h
Redwood Materials
Software Engineer - ML/Computer Vision (Battery Sorting)
Redwood Materials
⚡ Postuler tôt McCarran, NV; San Francisco, C... Sur site $152,500–$287,500
● Nouveau 👁 Vu ✓ Postulé il y a 10 h
Lyft
ML Software Engineer, ETA
Lyft
⚡ Postuler tôt San Francisco, CA Hybride $140,800–$176,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Faire
Senior Staff Machine Learning Platform Engineer
Faire
⚡ Postuler tôt Kitchener-Waterloo, ON; Toront... Sur site $248,000–$341,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Faire
Staff Machine Learning Platform Engineer
Faire
⚡ Postuler tôt Kitchener-Waterloo, ON; Toront... Sur site $216,000–$297,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Faire
Senior Staff Machine Learning Platform Engineer
Faire
⚡ Postuler tôt San Francisco, CA Sur site $295,000–$405,500
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Attentive
Senior Machine Learning Engineer
Attentive
⚡ Postuler tôt San Francisco, CA Sur site $244,000–$320,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Attentive
Senior Machine Learning Engineer
Attentive
⚡ Postuler tôt New York, NY Sur site $244,000–$320,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 j
Fluidstack
Machine Learning Engineer
Fluidstack
⚡ Postuler tôt Austin, TX Sur site $269,000–$317,000
● Nouveau 👁 Vu ✓ Postulé il y a 4 j

Inscrivez-vous pour des suggestions adaptées aux emplois que vous ouvrez et aux recherches que vous enregistrez.

Plus d’emplois chez Handshake

Voir tous les emplois chez Handshake →

Postuler maintenant
🤖

Doucement — un instant

JobsRadar a été conçu pour de vraies personnes qui traversent une période difficile dans leur recherche d’emploi — pas pour des requêtes automatisées. Vous cliquez beaucoup trop vite et vous êtes maintenant temporairement bloqué.

Revenez plus tard. Si vous cherchez réellement un emploi, nous sommes de votre côté — agissez simplement comme un être humain.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Prenez une longueur d’avance dans votre recherche d’emploi.

Rejoignez notre canal Telegram pour ce qui vous aide à décrocher le poste — références salariales, le pouls hebdomadaire du marché et les annonces de nouveautés. Pas de spam, que du signal.

Rejoindre le canal — c’est gratuit