Machine Learning Fellow - Human Frontier Collective (US)

Scale AI, Inc.; United States; Remote; USD 110,208 - 137,760; Part time

Benefits offered by this job

Flexible schedule

Competitive pay

Job summary

A technology company is seeking independent contractors for a fully remote Machine Learning role focused on high-impact AI projects. Candidates will engage with AI labs, optimizing models and contributing to essential research. Ideal applicants will possess a PhD in relevant fields and experience as Machine Learning Engineers or Data Scientists. The position offers competitive hourly rates ranging from $80 to $100, along with a flexible 10–40 hour work schedule, making it suitable for professionals looking to expand their influence in the AI domain.

Qualifications

• 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong proficiency in Python and modern ML frameworks.
• Detail-oriented, innovative thinker with a passion for applied AI research.

Responsibilities

• Engage in high-impact projects with partnered AI labs.
• Design, review, and optimize PyTorch models.
• Advise on GPU optimization and scaling trade-offs.

Skills

Python

PyTorch

TensorFlow

Cloud infrastructure (AWS)

MLOps tools (Docker, Langchain)

Education

PhD or postdoctoral degree in Computer Science, Computer Engineering, or related field

Job description

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Education:PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
• Professional Background:1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
• Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development:High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network:Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule:Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: $80-100/hour, depending on projects, skills assessment, and location.

Application Process

• Apply:We review applications on a rolling basis.
• Interview:Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
• Join the Collective:Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.