Machine Learning Engineer I

Responsibilities

• 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

Benefits

Additional Information

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

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