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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 DAngelo, Larry Summers, and Jack Dorsey.
Position: LLM Research Scientist (Pre-training & Post-Training)
Type:Contract
Compensation:$100–$120/hour
Location:Remote
Role Responsibilities
- Train transformer-based language models from scratch and fine-tune open-weight models.
- Optimize the use of limited data and compute resources.
- Construct training corpora from raw web-scale sources.
- Build and refine post-training pipelines.
- Diagnose and resolve training issues to enhance model performance.
- Work independently and asynchronously to meet project goals.
Must-Have
- 3+ years of machine learning research experience.
- 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.
- Experience in scaling laws and training-efficiency research.
- Knowledge of curriculum learning and data ordering.
- Expertise in LLM evaluation, including benchmark construction and contamination control.
- Familiarity with reinforcement learning for language models.
- Understanding of model alignment and AI safety.
- Upload resume
- AI interview based on your resume
- Submit form
- 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: [HIDDEN TEXT]
Skills
Machine LearningAiMlAi/mlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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