Remote ML Scientist: Adversarial Robustness & Vision

Mercor; San Francisco (CA); Remote; GBP 103,000 - 124,000; Part time

Job summary

Mercor is seeking an LLM Research Scientist (Pre-training; Computer Vision; Adversarial Robustness) for a remote contract role. You will train image classifiers and generative image models from scratch, and fine-tune open-weight language models.

The role emphasizes robust performance under data and compute constraints and expands capabilities through efficient model compression and troubleshooting. Ideal candidates have 3+ years of ML research, strong experience with PyTorch/JAX/TensorFlow, and

Qualifications

• 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, or equivalent research track record through publications/open-source contributions.

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.

Skills

PyTorch

JAX

TensorFlow

ML frameworks

Education

Top-100 university

Tools

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Job description

Mercor is seeking an LLM Research Scientist (Pre-training; Computer Vision; Adversarial Robustness) for a remote contract role. You will train image classifiers and generative image models from scratch, and fine-tune open-weight language models.

The role emphasizes robust performance under data and compute constraints and expands capabilities through efficient model compression and troubleshooting. Ideal candidates have 3+ years of ML research, strong experience with PyTorch/JAX/TensorFlow, and