Research Intern

📋 Description

• Own a research project from start to finish, from framing the question and running experiments to
• Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or
• Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out
• Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve
• Work with large-scale, proprietary datasets of text and audio interactions to find research
• Work with researchers and engineers across Sierra, and where it makes sense, turn your findings

🎯 Requirements

• Currently pursuing a PhD in computer science, machine learning, or a related field.
• A research track record, such as first-author publications or submissions at venues like NeurIPS
• Strong experimental skills: you design clean experiments, build careful baselines, and are honest
• Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training
• High agency and a builder’s mindset. You’ll work across the stack to get an experiment running.
• Clear, direct communication, both in writing and when presenting research.

🎁 Benefits

• Flexible (unlimited) paid time off
• Medical, dental, and vision benefits for you and your family
• Life insurance and disability benefits
• Retirement plan dependent on country of employment
• Parental leave
• Fertility and family building benefits through Carrot