Handshake
AI Research Engineer, Handshake AI
Handshake, San Francisco, California, United States, 94199
About Handshake AI
Handshake
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 Role
Design and implement post-training systems and methodologies in close partnership with research scientists and domain experts Build and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluation Develop robust frameworks for verifying the quality and integrity of highly specialized domain datasets Create next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessment Optimize performance across software and hardware layers to accelerate post-training experimentation and deployment Collaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliability Desired Capabilities Strong Python programming skills with attention to clean, efficient, and scalable code Experience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluation Deep 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 assessment Experience with benchmark design, evaluation methodologies, and performance measurement frameworks Clear communication skills and a collaborative mindset for cross-functional research teams Extra Credit Experience optimizing deep learning models for performance (e.g., memory usage, training speed) Interest in the societal and ethical impacts of AI technologies Contributions to open-source ML infrastructure or tools Perks
Handshake 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
Connection:
Team outings & referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Handshake
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 Role
Design and implement post-training systems and methodologies in close partnership with research scientists and domain experts Build and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluation Develop robust frameworks for verifying the quality and integrity of highly specialized domain datasets Create next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessment Optimize performance across software and hardware layers to accelerate post-training experimentation and deployment Collaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliability Desired Capabilities Strong Python programming skills with attention to clean, efficient, and scalable code Experience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluation Deep 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 assessment Experience with benchmark design, evaluation methodologies, and performance measurement frameworks Clear communication skills and a collaborative mindset for cross-functional research teams Extra Credit Experience optimizing deep learning models for performance (e.g., memory usage, training speed) Interest in the societal and ethical impacts of AI technologies Contributions to open-source ML infrastructure or tools Perks
Handshake 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
Connection:
Team outings & referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.