AI Researcher - Fully Remote

Mercor; Greater London; Remote; GBP 104,000 - 125,000; Full time

Job summary

Mercor is seeking an LLM Research Scientist for a remote contract focused on pre-training, computer vision, and adversarial robustness. You will train image classifiers and generative image models, and fine-tune language models on open-weight architectures to push performance under limited data and compute.

Candidates should have 3+ years of ML research, with strong experience in PyTorch, JAX, or TensorFlow, and a record from a top university or FAANG-type company.

Qualifications

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

Responsibilities

• Train image classifiers and generative image models from scratch; fine-tune language models on open-weight architectures.
• 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.

Skills

3+ years ML research

Education

PhD or top university background

FAANG or comparable AI company experience

Tools

PyTorch

JAX

TensorFlow

Job description

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.

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: [e-mail]