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# ML Scientist - Adversarial Robustness

- **Company:** Mercor, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $208,000.0 - $249,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Language Modeling, Tensorflow, Pytorch, Large Language Models, Generative AI
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/32d4753b-8ac0-40f6-977f-9ac5bb736fd9/ml-scientist-adversarial-robustness

## About the Role

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.

## Description

* 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.