Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Train image classifiers and generative image models from scratch. Fine-tune open-weight language models .
Optimize models for limited data, compute, and model-size budgets.
Enhance model robustness against adversarial inputs and conversations.
Compress models to meet size and latency constraints without losing accuracy.
Diagnose and resolve training issues to improve model performance.
Qualifications
Must-Have
3+ years of machine learning research experience (PhD research counts).
Strong experience with PyTorch , JAX , TensorFlow , or similar ML frameworks .
Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.
Preferred
Experience with Adversarial Robustness and Efficient Computer Vision .
Knowledge in Generative Image Modeling and LLM Post-Training & Behavioral Robustness .
Experience in Multilingual Pre-training and additional areas like scaling laws and curriculum learning .
Resources & Support
For details about the interview process and platform information, please check:
We use essential cookies to make this site work. With your permission we would also like to use the optional cookies below. Nothing optional is set until you choose, and you can change your mind at any time from "Cookie settings" at the bottom of every page. Cookie policy.
Essential — keep the site working and secure, and remember the choice you make here. Always on.