ML Scientist - Adversarial Robustness

Stack

Responsibilities

• ▹Train image classifiers and generative image models from scratch
• ▹Fine-tune open-weight language models
• ▹Optimize models under limited data, compute, and size budgets
• ▹Improve model robustness against adversarial inputs
• ▹Compress models to meet size and latency constraints
• ▹Diagnose and resolve training issues

Requirements

• ▹3+ years of machine learning research experience (PhD research counts)
• ▹Strong experience with PyTorch, JAX, or TensorFlow
• ▹Degree from a top-100 university, FAANG-level experience, or an equivalent publication record

Nice to have

• ▹Adversarial robustness and efficient computer vision
• ▹Generative image modeling, LLM post-training and behavioral robustness
• ▹Multilingual pre-training, scaling laws, curriculum learning

Soft skills

What we offer

• ▹High hourly pay ($100-120/hour)
• ▹Flexible, independent work

About the company

Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco.