
Machine Learning Expert
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in United States.
• Develop innovative solutions for complex machine learning engineering challenges within a long-term AI research initiative at a prominent AI laboratory.
• Design tasks that are sufficiently difficult to challenge state-of-the-art models, typically solved in no more than 2 out of 8 attempts.
• Emphasize primarily on inference, evaluation, and systems work rather than extensive model training.
• Create a combination of tasks that utilize both GPU and CPU resources.
• Clearly articulate the reasons behind the difficulty of each problem for a frontier model.
• Contribute ideas without the need to construct or assess the tasks.
• Engage in projects that train and enhance AI systems through partnerships with top AI labs and enterprises.
• Current or recent experience in a role as an ML research engineer, research scientist, or applied scientist.
• Practical experience in training, fine-tuning, or optimizing models using PyTorch or JAX.
• Extensive knowledge in at least one of the following areas: LLMs (pretraining, alignment, evaluations); GPU inference and performance (vLLM, Triton, CUDA, profiling); reinforcement learning; or scientific ML related to weather and climate, physics, or biology.
• Capability to explain the complexities of problems for frontier models.
• Experience in crafting benchmark or evaluation questions is beneficial.
• A PhD in ML, CS, or physics, or an MSc with a strong research output is preferred.
• Publications in relevant fields are advantageous.
• Previous Mercor contracts with a strong performance record are a plus.
• This is an independent contractor position.
• Candidates must not require H-1B or STEM OPT support.
• Fully remote work opportunity.
• Flexible schedule tailored to your needs.
• Weekly payment options through Stripe or Wise.
• Competitive compensation package.
• Chance to collaborate with leading researchers in the field.
• Opportunity to influence the development of the next generation of AI systems.
• Referral bonuses of up to $800 for each successful referral (with referral limits in place).
• Reasonable accommodations available upon request.
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