ML Scientist - Adversarial Robustness

Mercor
San Francisco, CA
Job Description
Role Overview

As an ML Scientist at Mercor, you will be responsible for training image classifiers and generative image models from scratch, fine-tuning open-weight language models, and enhancing model robustness to adversarial inputs and conversations.

What You Will Do

Your day-to-day responsibilities will include training models with limited data, compute, and model-size budgets, compressing models to meet size and latency constraints without losing accuracy, and diagnosing and resolving training issues effectively.

Why It Might Be a Fit

To be a fit for this role, you will need to have 3+ years of machine learning research experience, strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks, and a degree from a top-100 university or equivalent research track record through publications or impactful open-source contributions.

Requirements

  • 3+ years of machine learning research experience
  • Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks
  • Degree from a top-100 university or equivalent research track record through publications or impactful open-source contributions
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