Machine Learning Engineer I, Network
Actively Hiring
Full-time $151k - $189k Posted 1 day ago
Role overview
- check_circle Build and improve machine learning models for search, recommendations, notifications, user understanding, and embeddings
- check_circle Develop, test, and deploy models and supporting services in a production environment
- check_circle Work with large datasets to create features, train models, and evaluate performance
- check_circle Contribute to retrieval, ranking, personalization, and experimentation systems
- check_circle Monitor production models and help improve their quality, reliability, latency, and scalability
- check_circle Partner with product, engineering, and data science to translate business and user needs into practical ML solutions
- check_circle Participate in technical design discussions, code reviews, and team planning
- check_circle Use experimentation and marketplace metrics to measure the impact of your work
- check_circle Contribute to team standards and best practices for model development, evaluation, and deployment
- check_circle 3+ years of professional experience in machine learning, data science, software engineering, or a related field
- check_circle Proficiency in Python and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
- check_circle Experience building, evaluating, and deploying machine learning models in production
- check_circle Familiarity with one or more relevant areas, such as recommendations, search, personalization, ranking, NLP, deep learning, or LLMs
- check_circle Understanding of core ML concepts, including classification, regression, ranking, feature engineering, and model evaluation
- check_circle Experience working with data pipelines, experiment tracking, model monitoring, or other parts of the ML lifecycle
- check_circle Strong software engineering fundamentals and the ability to write reliable, maintainable code
- check_circle Experience working collaboratively with engineers, data scientists, product managers, and other cross-functional partners
- check_circle Ability to break down moderately complex problems, evaluate tradeoffs, and deliver solutions with support from senior team members
- check_circle A focus on measurable results and improving the end-user experience
- check_circle Experience with embedding-based retrieval, multi-stage ranking, graph-based models, or recommender systems
- check_circle Experience working with large-scale datasets or high-traffic cloud-based production systems
- check_circle Familiarity with generative retrieval, LLM evaluation, or post-training techniques
- check_circle Interest in explainable AI, fairness, or responsible machine learning
- check_circle Clear communication skills and an interest in contributing to team practices and technical standards
Responsibilities
- check_circle $151K – $189K
Benefits
- check_circle Ownership: Equity in a fast-growing company
- check_circle Financial Wellness: 401(k) match, competitive compensation, and financial coaching
- check_circle Family Support: Paid parental leave, fertility benefits, and parental coaching
- check_circle Wellbeing: Medical, dental, and vision coverage, mental health support, and a $500 wellness stipend
- check_circle Growth: $2,000 learning stipend and ongoing development
- check_circle Remote & Office: Internet and commuting support, plus free lunch and gym access in our SF office
- check_circle Time Off: Flexible PTO, 15 holidays, and two flex days
- check_circle Connection: Team outings and referral bonuses
About the company
- check_circle Shape how every career evolves in the AI economy, at global scale, with impact your friends, family, and peers can see and feel
- check_circle Partner with world-class AI labs, Fortune 500 companies, and the world’s leading educational institutions
- check_circle Work alongside engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
- check_circle Help build a massive, fast-growing business with billions in revenue
Tags & Focus Areas
Fulltime Remote Machine Learning Ai
About Handshake
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.<br><br><strong>Your impact<br><br></strong>Handshake is expanding into AI research and development, building a world-class network of expert Fell...
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