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 machine learning systems for job search and recommendations.
- •Handshake is hiring a Machine Learning Engineer for the Network and Handshake AI Marketplace Relevance team.
- •AI is transforming how students navigate their careers, and we’re committed to developing innovative, responsible AI-powered solutions that connect students with meaningful career opportunities.
- •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.
- •Understanding of core ML concepts, including classification, regression, ranking, feature engineering, and model evaluation.
Required skills
Pythonscikit-learnPyTorchTensorFlowNLPLLMsSQL
Domain expertise
edtechai
Benefits & perks
Equity, 401(k) match, Paid parental leave, Fertility benefits, Medical coverage, Dental coverage, Vision coverage, Mental health support, Wellness stipend, Learning stipend, Internet support, Commuting support, Free lunch, Gym access, Flexible PTO, Holidays, Referral bonuses
Tech stack
Pythonscikit-learnPyTorchTensorFlowSQLGitLinuxDockerKubernetesAWSGoogle CloudAzureNLPLLMs