AI Researcher - End-to-End ML, Robustness & Efficiency

Mercor is seeking experienced machine learning researchers to train and improve deep learning models end-to-end across vision and language. You'll tackle well-scoped empirical open-ended ML research problems and collaborate with a team of leading AI researchers.

Responsibilities include training image classifiers and generative models, optimizing data/compute efficiency, and improving robustness against adversarial inputs while meeting latency and size constraints.

As a AI Researcher
- End-to-End ML, Robustness & Efficiency, you will play an important part at Mercor in San Francisco, CA, United States.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the AI Researcher
- End-to-End ML, Robustness & Efficiency role in the description above.

We appreciate your interest in this position.

Join Mercor and contribute to our ongoing work.