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# ML Scientist - Adversarial Robustness - AI Trainer

- **Company:** Mercor, Inc.
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $208,000.0 - $249,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Language Modeling, Tensorflow, Pytorch, Model Validation, Data Augmentation
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/82f4f023-149c-493f-89c3-259fc948ddb9/ml-scientist-adversarial-robustness-ai-trainer

## 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 equivalent research track record through publications or impactful open-source contributions.

Preferred

 * Experience in scaling laws and training-efficiency research.
 * Knowledge of curriculum learning and data ordering.
 * Skills in model evaluation, uncertainty estimation, and model calibration.
 * Expertise in data augmentation and synthetic data for robustness.

## Description

* Train image classifiers and generative image models from scratch. Fine-tune open-weight language models.
 * Optimize models with limited data, compute, and model-size budgets.
 * Enhance model robustness to adversarial inputs and conversations.
 * Compress models to meet size and latency constraints without losing accuracy.
 * Diagnose and resolve training issues effectively., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.