Research Scientist

About the Position

Research Scientist

San Francisco

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

SpaceXAI is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.

About the Role

We’re looking for Research Scientists who can drive effective RL or mid-training research in a small-team setting. You’ll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. You should expect significantly more scope and autonomy than in other research labs.

Responsibilities

• Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute
• Train graders to improve performance on coding tasks with non-verifiable reward
• Improve the quality and difficulty of datapoints we use for training our models
• Realtime RL for coding agents

Requirements

• You have a deep background in RL and strong machine learning fundamentals
• You’re an excellent programmer and software engineer
• You can handle ambiguous research tasks with little guidance
• You care a lot about data quality, and can dive into the data when appropriate
• You are truth seeking, aiming to learn more about the science than proving your ideas are correct.

We Offer

• Opportunity to work in a cutting-edge field of AI and coding automation
• Collaborative and innovative work environment
• Potential for significant impact on the future of coding

About the Company

SpaceXAI is at the forefront of developing advanced coding automation tools. Our mission is to make coding more efficient and accessible, leveraging the power of reinforcement learning and machine learning.