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+ yearsof machine learning research experience ( PhDresearch counts).
- Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
- Degree from a top-100 university, experience at a FAANGor comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.
Preferred
- Experience with Adversarial Robustnessand Efficient Computer Vision.
- Knowledge in Generative Image Modelingand LLM Post-Training & Behavioral Robustness.
- Experience in Multilingual Pre-trainingand additional areas like scaling lawsand curriculum learning.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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