about 3 hours ago
Base Salary
$200k - $280k/yr
Responsibilities
- 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.
Benefits
- Excellent medical, dental, and vision coverage.
- Strong benefits package including catered lunches in the Menlo Park office.
- Commuter benefits available.
- Relocation allowance for new hires.