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)
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Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
