Machine Learning Engineer I, Network
HandshakeRecruitment Platform company
San Francisco, United StatesMid
Lightspeed Venture Partners
Spark Capital
True Ventures
Kleiner Perkins
Annox Capital
Proactive
Data & AI
About the role
TL;DR
Build and improve ML systems for job search, recommendations, and user understanding.
- •Handshake is hiring a Machine Learning Engineer for the Network and Handshake AI Marketplace Relevance team to develop innovative, responsible AI-powered solutions that connect students with meaningful career opportunities.
- •In this role, you’ll build and improve machine learning systems for job search, recommendations, user understanding, personalized notifications, and core embedding models across the Handshake platform.
- •Key Responsibilities 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.
- •Requirements 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.
- •Strong software engineering fundamentals and the ability to write reliable, maintainable code.
Required skills
Pythonscikit-learnPyTorchTensorFlowNLPLLMsGit
Nice-to-have skills
SQLComputer Vision
Domain expertise
edtechaiproductivity
Benefits & perks
Equity, 401(k) match, Medical coverage, Dental coverage, Vision coverage, Mental health support, Wellness stipend, Learning stipend, Internet support, Commuting support, Free lunch, Gym access, Flexible PTO, Holidays, Flex days, Team outings, Referral bonuses
Tech stack
Pythonscikit-learnPyTorchTensorFlowSQLNLPLLMsGit