Research Engineer
The Research Engineer will apply advances in agents and language models to build and evaluate multi-agent systems for automated code validation and review. The role requires a computer science or equivalent background, research experience, strong programming skills, and product intuition.
About the job
Responsibilities
- Experiment with and apply the latest advances in agents and language models to improve product performance and capabilities.
- Design and build multi-agent systems, harnesses, models, and evaluations that power code validation.
- Study multi-agent architectures, prototype and evaluate multi-agent code review workflows, and integrate successful prototypes into production systems.
- Stay current with research across LLMs, information retrieval, and developer tooling.
Requirements
- B.S. in Computer Science or equivalent
- Research experience in mathematics, computer science, or physics.
- Strong programming skills.
- Sharp product intuition.
Nice-to-haves
- Research experience with machine learning, language models, or agents.
- Papers accepted at top machine learning conferences.
- Experience building harnesses and evaluations for technical applications.
- Experience post-training models.
- Research master's degree or PhD.
Benefits
- Work on a product used by thousands of developers.
- In-office work with a talent-dense team solving challenging problems.
- Opportunity to build and ship products used by real customers.
Skills
Python, Machine Learning, Language Models, LLMs, AI Agents, Multi-Agent Systems, Information Retrieval, Code Review, Model Evaluation, Model Post-Training, Programming
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