Machine Learning Engineer I, Network

The team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of data points.

The team is also exploring emerging areas such as generative retrieval and post-training. Your work will directly contribute to improving marketplace outcomes while supporting Handshake’s commitment to explainability, fairness, and responsible AI. What You’ll Do Build and improve machine learning models for search, recommendations, notifications, user understanding, and embeddings Develop, test, and deploy models and supporting services in a production environment Work with large datasets to create features, train models, and evaluate performance Contribute to retrieval, ranking, personalization, and experimentation systems Monitor production models and help improve their quality, reliability, latency, and scalability Partner with product, engineering, and data science to translate business and user needs into practical ML solutions Participate in technical design discussions, code reviews, and team planning Use experimentation and marketplace metrics to measure the impact of your work Contribute to team standards and best practices for model development, evaluation, and deployment Desired Capabilities 3+ years of professional experience in machine learning, data science, software engineering, or a related field Proficiency in Python and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow Experience building, evaluating, and deploying machine learning models in production Familiarity with one or more relevant areas, such as recommendations, search, personalization, ranking, NLP, deep learning, or LLMs Understanding of core ML concepts, including classification, regression, ranking, feature engineering, and model evaluation Experience working with data pipelines, experiment tracking, model monitoring, or other parts of the ML lifecycle Strong software engineering fundamentals and the ability to write reliable, maintainable code Experience working collaboratively with engineers, data scientists, product managers, and other cross-functional partners Ability to break down moderately complex problems, evaluate tradeoffs, and deliver solutions with support from senior team members A focus on measurable results and improving the end-user experience Extra Credit Experience with embedding-based retrieval, multi-stage ranking, graph-based models, or recommender systems Experience working with large-scale datasets or high-traffic cloud-based production systems Familiarity with generative retrieval, LLM evaluation, or post-training techniques Interest in explainable AI, fairness, or responsible machine learning Clear communication skills and an interest in contributing to team practices and technical standards

Perks Handshake delivers

benefits that help you feel supported—and thrive at work and in life. The

benefits below are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive

compensation, and financial coaching 🍼 Family Support: Paid parental leave, fertility

benefits, and parental coaching 💝 Wellbeing: Medical, dental, and vision coverage, mental health support, and a $500 wellness stipend 📚 Growth: $2,000 learning stipend and ongoing development 💻 Remote & Office: Internet and commuting support, plus free lunch and gym access in our SF office 🏝 Time Off: Flexible PTO, 15 holidays, and two flex days 🤝 Connection: Team outings and referral bonuses Explore our mission, values, and comprehensive US

benefits at joinhandshake.com/careers .

A meeting lands on your calendar

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