Machine Learning Engineer I, Network

📋 Job Overview

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.

🏢 About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

🎯 The Role

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
• 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

⭐ Desirable Experience

• 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

🎁 Benefits

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: Comprehensive benefits package

🛂 Visa & Eligibility

No visa or eligibility information provided.