Company: Mercor
Job Location: Bengaluru, Karnataka, India
Employment Type: Full time
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.
Develop challenging machine learning engineering tasks for a long-horizon AI research project.
Design tasks that challenge frontier models ensuring they are solved in no more than 2 out of 8 attempts.
Focus on inference evaluation and systems work rather than heavy model training. Tasks run on both GPU and CPU.
Clearly explain why each problem is difficult for a frontier model.
Contribute ideas without needing to build or review the tasks yourself.
Qualifications
Must-Have
Current or recent role as an ML research engineer research scientist or applied scientist.
Experience with training fine-tuning or optimizing models in PyTorch or JAX.
Deep knowledge in at least one area: LLMs GPU inference and performance Reinforcement learning (RL) or Scientific ML.
Ability to explain why a problem is hard for a frontier model.
Preferred
Experience writing benchmark or evaluation questions.
PhD in ML CS or physics or an MSc with robust research output.
Publications.
Prior Mercor contracts with robust performance.
Application Process (Takes 2030 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 chance. .
📌 Ml Research Engineer Pytorch Expert Bengaluru (India)
🏢 Mercor
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.