Remote ML Research Fellow (Contract)

Scale AI; United States; Remote; USD 103,000 - 179,000; Part time

Benefits offered by this job

Fully remote

1089 independent contractor (1099)

6-month duration

Visa sponsorship not available

Job summary

Scale AI invites a PhD+ holder to join the Human Frontier Collective Fellowship as a fully remote, independent contractor for six months in the United States. You will design, evaluate, and interpret advanced generative AI systems, working with Scale’s researchers and external labs.

The role emphasizes high-impact ML projects, interdisciplinary collaboration, and opportunities to co-author technical publications.

Qualifications

• PhD or postdoctoral degree in CS/CE or related field.
• 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, LangChain).

Responsibilities

• Engage in high-impact ML projects with partnered labs; design, review, and optimize PyTorch models and AI code for efficiency and correctness.
• Contribute to the HFC community and collaborate across disciplines; engage in reviews and advisory activities.
• Co-author technical reports and research papers to boost academic visibility (e.g., SciPredict, PropensityBench).

Skills

Python

PyTorch

TensorFlow

AWS

Docker

LangChain

Education

PhD or postdoctoral degree in Computer Science or related field

Job description

Scale AI invites a PhD+ holder to join the Human Frontier Collective Fellowship as a fully remote, independent contractor for six months in the United States. You will design, evaluate, and interpret advanced generative AI systems, working with Scale’s researchers and external labs.

The role emphasizes high-impact ML projects, interdisciplinary collaboration, and opportunities to co-author technical publications.