Machine Learning Engineer

United States·San Franciscofull-timemid

Machine Learning EngineerData

2 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.

Technical Tools

Machine Learning EngineerData

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 0to~1B run rate and pay ~$60M to over 30K individuals every month.

What We Offer

~1 min read

✓Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

✓Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

✓Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

✓Build a massive, fast-growing business with billions in revenue

About the Role

~1 min read

Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.

You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.

Responsibilities

~1 min read

Bachelor’s degree in Computer Science, Data Science, or a related field
1-3 years of experience in machine learning, data science, or a related area
Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
Experience with deploying and evaluating agentic workflows
Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation

Master’s degree or currently pursuing an advanced degree in a relevant field
Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI
Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)
Experience with cloud platforms (GCP, AWS, or Azure)
Clear communicator, able to translate technical work for diverse audiences
Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams