Remote LLM & Vision ML Scientist — Adversarial Robustness

1000scholars; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mercor is seeking an experienced LLM Research Scientist to advance pre-training, computer vision, and adversarial robustness. This fully remote role is open to candidates in the United States, with responsibilities spanning end-to-end model development and evaluation.

You will train vision-language models, compress models to meet latency constraints, address data and compute limits, and push robustness against adversarial inputs while improving sample efficiency.

Qualifications

• 3+ years of machine learning research experience (PhD counts toward requirement).
• Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
• Degree from a top-100 university, FAANG or comparable AI company experience, or an equivalent research track record.

Responsibilities

• Train image classifiers and generative image models from scratch, and fine‑tune open‑weight language models.
• Get the most out of limited data, compute, and model‑size budgets.
• Make models robust - to adversarial inputs and to adversarial conversations.
• Compress models to meet hard size and latency constraints without sacrificing accuracy.
• Diagnose and resolve training issues.

Skills

3+ years ML research experience

Strong experience with PyTorch, JAX,TF

Education

Degree from a top-100 university

Tools

PyTorch

JAX

TensorFlow

Job description

Mercor is seeking an experienced LLM Research Scientist to advance pre-training, computer vision, and adversarial robustness. This fully remote role is open to candidates in the United States, with responsibilities spanning end-to-end model development and evaluation.

You will train vision-language models, compress models to meet latency constraints, address data and compute limits, and push robustness against adversarial inputs while improving sample efficiency.