Senior ML Engineer — Financial Signals & Risk (Hybrid)

Poesis AI; San Francisco (CA); Hybrid; USD 200,000 - 280,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Catered lunches

Commuter benefits

Relocation allowance

Job summary

Poesis AI in California is seeking a Machine Learning Engineer to develop and implement models that enhance investment decision-making. The role includes designing experiments, working with large datasets, and building reproducible workflows.

Ideal candidates will have 5+ years of experience and strong Python and SQL skills. Excellent benefits and a hybrid work model are offered, with compensation between $200K and $280K.

Qualifications

• 5+ years experience as a Machine Learning Engineer or related role.
• Prior experience at a frontier AI lab, agentic startup or leading hedge fund.
• Strong Python and SQL skills.

Responsibilities

• Rapidly implement and iterate on machine learning models.
• Design and run experiments to evaluate model performance.
• Build reproducible workflows for feature generation.

Skills

Machine Learning

Python

SQL

Large-scale datasets

Model evaluation

Reproducible workflows

AI systems familiarity

Coding agents

Education

BS/MS/PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Poesis AI in California is seeking a Machine Learning Engineer to develop and implement models that enhance investment decision-making. The role includes designing experiments, working with large datasets, and building reproducible workflows.

Ideal candidates will have 5+ years of experience and strong Python and SQL skills. Excellent benefits and a hybrid work model are offered, with compensation between $200K and $280K.