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
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
Experience with deploying and evaluating agentic workflows
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
