Member of Technical Staff | Machine Learning

About the Role

At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We’re looking for a Member of Technical Staff (Machine Learning) to build the models, signals, and evaluation tools that make this possible. This is an opportunity to test new ideas against complex, real-world financial data and see the impact of your work on actual investment decisions.

Challenges You'll Work on

• Find predictive signals in large financial, fundamental and alternative datasets.
• Design experiments and evaluations that separate real improvements from noise.
• Build rigorous, reproducible ML research systems for fast experimentation.
• Turn promising research into production models and signals that hold up over time.
• Use real-world outcomes to understand where models and agents can improve.

About You

• You’ve worked at a frontier AI lab, agentic startup, high-growth technology company, leading investment manager, or similar organization.
• You’ve developed, evaluated, and deployed ML models in production.
• You understand how models fail, how evaluation design shapes outcomes and how to distinguish promising results from noise.
• You have strong quantitative judgment and experience working with large, complex datasets.
• You can take ownership of open-ended research problems and use evidence to decide what to pursue next.
• BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.

Nice to Have

• Experience developing ML or AI systems using financial, fundamental, alternative, or time-series data.
• Familiarity with quantitative investing, portfolio construction, or risk management.
• Experience applying modern AI systems to financial documents (filings, transcripts, etc).

Location

Hybrid, 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

Benefits

• We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more.
• Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.

Working at Poesis

• As an early team member, you’ll help shape not just the product, but how the company operates.
• Your decisions will have lasting impact across the business.
• You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down.
• Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.