Company Name: Handshake

Job Details: Be,an,Early,Applicant,3,Locations,In-Office,or,Remote,200K-375K,Annually,Mid,level

Job Url: https://builtin.com/job/ai-research-engineer-handshake-ai/7032500

Job Description: About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleDesign and implement post-training systems and methodologies in close partnership with research scientists and domain expertsBuild and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluationDevelop robust frameworks for verifying the quality and integrity of highly specialized domain datasetsCreate next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessmentOptimize performance across software and hardware layers to accelerate post-training experimentation and deploymentCollaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliabilityDesired CapabilitiesStrong Python programming skills with attention to clean, efficient, and scalable codeExperience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluationDeep familiarity with PyTorch and modern post-training techniques (RLHF, constitutional AI, etc.)A background in applied machine learning, model evaluation, or large-scale data quality assessmentExperience with benchmark design, evaluation methodologies, and performance measurement frameworksClear communication skills and a collaborative mindset for cross-functional research teamsExtra CreditExperience optimizing deep learning models for performance (e.g., memory usage, training speed)Interest in the societal and ethical impacts of AI technologiesContributions to open-source ML infrastructure or toolsPerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.