AI Research Engineer, Handshake AI

Handshake is revolutionizing the intersection of AI and human data, partnering with leading AI labs to enhance large language model (LLM) training and evaluation. As an AI Research Engineer at Handshake AI, you'll join a distinguished team from YC, Notion, Scale, Coinbase, and Palantir, working directly with premier AI research labs.

The role combines deep technical expertise with innovative research in AI development. You'll be responsible for designing and implementing post-training systems, building robust infrastructure for large-scale model training, and creating cutting-edge LLM benchmarks. This position requires strong Python programming skills, extensive experience with PyTorch, and deep knowledge of modern post-training techniques like RLHF and constitutional AI.

What makes this opportunity unique is Handshake's extensive network, powering career platforms at 92% of top U.S. universities and providing access to verified expert talent across various domains. You'll be working at the forefront of AI development, helping shape how the world's top labs build, test, and evaluate cutting-edge AI systems.

The compensation is highly competitive, ranging from $180K to $300K, complemented by comprehensive benefits including equity, extensive parental leave, health coverage, and professional development opportunities. Based in San Francisco, this role offers a collaborative environment with a high-talent team, making it perfect for someone passionate about advancing the frontiers of AI technology.

The impact of your work will be significant, as you'll be directly involved in accelerating frontier AI development through better data, tools, and systems. If you're excited about building from first principles and want to be part of shaping the future of AI capabilities, this role offers an exceptional opportunity to make your mark in the field.