Handshake
AI Research Engineer
Edtech.com's Summary
- Design and implement post-training systems and methodologies with research scientists and domain experts
- Build and maintain infrastructure supporting large-scale model training, specialized data processing, and benchmark evaluation
- Develop frameworks to verify quality and integrity of specialized domain datasets
- Create next-generation LLM benchmarks for advanced model evaluation and capability assessment
- Optimize performance across software and hardware to accelerate experimentation and deployment
- Strong Python programming skills focusing on clean, efficient, and scalable code
- Experience with large-scale systems for model post-training, data processing, or benchmark evaluation
- Deep familiarity with PyTorch and modern post-training techniques such as RLHF and constitutional AI
- Background in applied machine learning, model evaluation, or large-scale data quality assessment
- Competitive compensation with equity, 401(k) match, paid parental leave, medical and wellness benefits, learning stipends, and flexible PTO
AI Research Engineer Full Description
About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the worldâs top educational institutions
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
Build a massive, fast-growing business with billions in revenue
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 supportedâand thrive at work and in life.
The below benefits are for full-time US employees.
ð¯ Ownership: Equity in a fast-growing company
ð° Financial Wellness: 401(k) match, competitive compensation, financial coaching
ð¼ Family Support: Paid parental leave, fertility benefits, parental coaching
ð Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
ð Growth: $2,000 learning stipend, ongoing development
ð» Remote & Office: Internet, commuting, and free lunch/gym in our SF office
ð Time Off: Flexible PTO, 15 holidays + 2 flex days
ð¤ Connection: Team outings & referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
