ML SCIENTIST - ADVERSARIAL ROBUSTNESS

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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.