Research Intern

About Atla

Role

• Conduct cutting-edge machine learning research, contributing to research initiatives that have practical applications in our product development.
• Disseminate your research results through the production of publications, datasets, and code.

• Agent-as-a-Judge: Using agentic systems to evaluate other agentic systems, reducing reliance on human judgment and enabling automated, scalable evaluation frameworks [3].
• Task-driven and multi-step evaluation: Moving beyond single-action accuracy to assess long-horizon reasoning, adaptability, and decision-making in dynamic environments [4].

Qualifications

• Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.
• Proven track record in empirical research, including designing and executing experiments, and effectively writing up and communicating findings.
• Publications in top AI conferences.
• Aptitude for distilling and applying ideas from complex research papers.

Nice to have

• Previous internship experience at elite AI research labs (OpenAI, DeepMind, Meta, Anthropic, etc.).
• Experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
• Interested in and thoughtful about the impacts of AI technology.

About you

• Create real value: Every action should deliver tangible, meaningful value for the people who use what we build.
• Drive to completion: Do the second 90%.
• Do fewer things, better: Prioritize focus over breadth.

• Collaborate for excellence: The whole is greater than the sum of its parts.
• Seek truth: Let the best ideas win, no matter where they come from, and let go of ego.
• Argue passionately, then commit fully: Debate fiercely, but once a decision is made, own it like it’s yours.

• Advance AI safety: Every action should contribute towards the safe development of AI.
• Go big or go home: “The people who are crazy enough to think they can change the world are the ones who do.”

Compensation

• Highly competitive