1 day ago
Menlo Park, CA, USASenior
Base Salary
$200k - $280k/yr
Responsibilities
- Find predictive signals in large financial, fundamental, and alternative datasets.
- Design experiments and evaluations that distinguish real improvements from noise.
- Build rigorous, reproducible ML research systems for rapid experimentation.
- Develop and deploy production models and signals that remain effective over time.
- Use real-world outcomes to identify how models and agents can improve.
- Take ownership of open-ended machine learning research problems and guide priorities using evidence.
Requirements
- Experience at a frontier AI lab, agentic startup, high-growth technology company, leading investment manager, or similar organization.
- Experience developing, evaluating, and deploying machine learning models in production.
- Understanding of model failure modes, evaluation design, and how to distinguish promising results from noise.
- Strong quantitative judgment and experience working with large, complex datasets.
- Bachelor's, master's, or PhD in Computer Science or a related field, or equivalent practical experience.
Benefits
- Hybrid work with three days per week onsite at the Menlo Park, California office.
- Relocation allowance available.
- Medical, dental, and vision coverage.
- Catered lunches and commuter benefits.
- Continuing work visa sponsorship available for full-time employees.
Categories
About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native asset manager running autonomous agents that predict markets, construct portfolios, and manage risk. Live capital is the training ground for an intelligence that compounds with every signal.