Machine Learning Engineer I
San Francisco, CA - USA
Department:
Job Summary
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 1600 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. Weve 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 worlds 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 Handshakes 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: Youll 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 Youll 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
Bachelors 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 supportedand 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: $2000 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 Experience:
IC
About Company
The better career platform for Gen Z changing how, where, and why the next generation of talent builds their career.