Machine Learning Fellow

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage in prominent AI/ML projects with Scale AI and its associated labs and platforms.

• Establish AI safety and policy frameworks.

• Design, assess, and enhance PyTorch models.

• Analyze intricate ML code and AI-generated solutions for effectiveness and accuracy.

• Be matched with partner projects that involve AI model assessments, experimental design, RL environment creation, and collaborative research paper authorship.

• Work alongside Scale AI’s research team on technical documentation and research publications.

• Share your research background, professional experience, and alignment with the organization's mission during the interview process.

⛳️ Requirements

• PhD or postdoctoral research experience in Machine Learning, Computer Science, or a related discipline; or extensive industry experience in Machine Learning or a similar field.

• Excellent command of Python.

• Strong expertise in contemporary ML frameworks, including PyTorch and TensorFlow.

• Familiarity with cloud services such as AWS.

• Experience with MLOps tools like Docker is an advantage.

• Knowledge of LLM frameworks such as LangChain is a plus.

• Detail-oriented with an innovative approach.

• Enthusiasm for applied AI research.

• Dedication to teamwork and collaboration.

• Must possess or independently obtain full-time work authorization in the US.

• Scale AI does not provide visa sponsorship for Fellows.

🏝️ Benefits

• Access to a diverse network of experts, researchers, academics, and domain leaders across over 70 fields.

• Opportunities to engage in selected high-impact AI/ML projects.

• Possibilities to co-author technical reports and research publications.

• Access to newsletters, discussion forums, virtual events, and in-person gatherings.

• Flexible scheduling with no mandatory commitment; fellows determine their own hours.

• Competitive compensation based on project involvement.

• Most fellows dedicate 10–25 hours per week.

• Engagements can continue indefinitely as long as there is mutual interest.