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Machine Learning Fellow - Human Frontier Collective (US)

Scale AIUnited StatesHuman Frontier Collective
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Salary
Not listed
Job type
Full-time
Posted
12 Feb 2026
Status
Open · checked 9d ago

About this role

Scale AI is hiring a Machine Learning Fellow for the Human Frontier Collective across the United States. This independent contractor role suits academic experts, researchers, and senior industry professionals looking to shape frontier artificial intelligence systems.

Role Overview

The Human Frontier Collective brings together top minds across more than 70 fields to influence how frontier AI models are built, evaluated, and governed. Fellows join an exclusive network, participate in high-impact machine learning initiatives, and collaborate on research publications. This position operates as a flexible 1099 independent contractor engagement with no fixed end date.

Key Responsibilities

Design, review, and optimize PyTorch models to help artificial intelligence systems understand real-world deep learning workflows.
Build AI safety and policy guardrails alongside Scale AI and affiliated research platforms.
Evaluate complex machine learning code and AI-generated implementations to ensure correctness and efficiency.
Co-author technical reports and research papers with the Scale research team.
Participate in expert discussions, virtual sessions, newsletters, and in-person events.

Requirements

Hold a PhD or postdoctoral research experience in Computer Science, Machine Learning, or a closely related academic field.
Alternatively possess senior industry experience in machine learning or a related technical discipline.
Maintain full-time work authorization within the United States, as visa sponsorship is not provided for this program.

Nice to Have

Strong proficiency in Python and modern machine learning frameworks such as PyTorch and TensorFlow.
Practical experience with AWS cloud infrastructure.
Familiarity with MLOps tools like Docker.
Experience working with LLM frameworks including LangChain.

Skills and Tools

Python
PyTorch
TensorFlow
AWS
Docker
LLM
LangChain
MLOps

About the Company

Scale AI builds reliable artificial intelligence systems for critical decisions, providing high-quality data and full-stack technologies to leading enterprises, global brands, and government agencies. The organization is an equal opportunity employer committed to creating an inclusive workplace environment for all qualified applicants.

How to Apply

Candidates should submit their applications directly through the official Scale AI careers page to be considered for the Human Frontier Collective fellowship program.

Skills and tech stack

Questions candidates ask

What is the employment type for the Machine Learning Fellow role?

This position is structured as a 1099 independent contractor engagement with a flexible schedule and no fixed end date.

Are visas sponsored for this position?

No, Scale AI does not sponsor visas for Fellows. Applicants must already have or independently obtain full-time work authorization in the United States.

What qualifications are required to apply?

Applicants must have a PhD or postdoctoral research experience in Machine Learning, Computer Science, or a related field, or senior industry experience in a related technical discipline.

How many hours per week do fellows typically work?

Most fellows choose to spend between 10 and 25 hours per week on a flexible schedule that they set themselves, with no minimum commitment required.

Is there a waiting period if I am not selected?

Yes, Scale AI enforces a 90-day waiting period before reconsidering candidates for the same role to ensure a fair evaluation process.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site