ML Scientist - Adversarial Robustness - AI Trainer

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)

Type: Contract Compensation: $100–$120/hour Location: Remote Role Responsibilities

• 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.

Qualifications 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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

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