Staff ML Engineer for Financial Markets & Signals

Poesis AI; Menlo Park (CA); Híbrido; USD 200.000 - 280.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision coverage

Catered lunches

Commuter benefits

Descripción de la vacante

Poesis is hiring a Member of Technical Staff (Machine Learning) in Menlo Park. Join a team building models, signals, and evaluation tools to improve alpha discovery, decision-making, and risk management on real financial data.

This hybrid role requires testing ideas with large-scale datasets and delivering production-ready signals. You will own open-ended research problems and contribute to a cutting-edge AI-driven investment platform.

Formación

• Experience developing, evaluating, and deploying ML models in production.
• Understand model failure modes and evaluation design.
• Strong quantitative judgment with large datasets experience.
• Ownership mindset for open-ended research problems.

Responsabilidades

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

Conocimientos

ML production

Large datasets

Experiment design

Production ML systems

Quantitative judgment

Educación

BS/MS/PhD in CS or related field

Descripción del empleo

Poesis is hiring a Member of Technical Staff (Machine Learning) in Menlo Park. Join a team building models, signals, and evaluation tools to improve alpha discovery, decision-making, and risk management on real financial data.

This hybrid role requires testing ideas with large-scale datasets and delivering production-ready signals. You will own open-ended research problems and contribute to a cutting-edge AI-driven investment platform.