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 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.

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 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.

Application Process (Takes 20–30 mins to complete)

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Resources & Support

For details about the interview process and platform information, please check:
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.

ML Scientist - Adversarial Robustness

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