Staff ML Engineer: Financial AI & Market Signals

Poesis; Menlo Park (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation allowance

Catered lunches

Commuter benefits

Job summary

Poesis is seeking a Member of Technical Staff (Machine Learning) to build models, signals, and evaluation tools for AI-driven investing. You will work with large financial datasets, turn research into production systems, and evaluate signals against real market outcomes.

As an early team member, you’ll own open-ended research problems, design rigorous experiments, and contribute to scalable ML infrastructure. Hybrid work, relocation support, and strong medical benefits are offered.

Qualifications

• Experience deploying ML models in production.
• Strong ability to work with large, complex datasets.
• Familiarity with evaluating ML models and separating signal from noise.

Responsibilities

• Build models, signals, and evaluation tools for finance.
• Turn research into production models and signals that hold up over time.
• Design experiments and evaluations to distinguish real improvements from noise.

Skills

Production ML

Large datasets

Experiment design

Quantitative judgment

Research ownership

Education

BS/MS/PhD in CS or related field

Job description

Poesis is seeking a Member of Technical Staff (Machine Learning) to build models, signals, and evaluation tools for AI-driven investing. You will work with large financial datasets, turn research into production systems, and evaluate signals against real market outcomes.

As an early team member, you’ll own open-ended research problems, design rigorous experiments, and contribute to scalable ML infrastructure. Hybrid work, relocation support, and strong medical benefits are offered.