Key skills
PythonSQLAIMachine LearningClaudeAgentic
About this role
Role Overview
- Rapidly implement and iterate on machine learning models, signals and research ideas
- Design and run experiments to evaluate and improve model and agent performance and investment impact
- Build reproducible workflows for feature generation, training, validation and evaluation
- Work with large-scale financial, fundamental and alternative datasets to identify predictive signals and improve model performance
Requirements
- 5+ years experience as a Machine Learning Engineer, or related role
- Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or similar
- Strong Python and SQL skills, with experience working with large-scale datasets
- Experience developing, evaluating and deploying machine learning models in production environments
- Success building reproducible research workflows and experimentation frameworks
- Familiarity with modern AI systems, including LLMs, evaluation frameworks, and agent workflows
- Skill leveraging Claude Code, Codex, or other coding agents
- BS/MS/PhD in Computer Science or a related field, or equivalent practical experience
Tech Stack
- Python
- SQL
Benefits
- excellent medical, dental, and vision coverage
- catered lunches in our Menlo Park office
- commuter benefits
- relocation allowance available