Machine Learning Engineer

Poesis AI

Machine Learning Engineer developing and deploying AI-driven models for Poesis, enhancing investment decision-making and risk management. Collaborating on full ML lifecycle with financial datasets.

Posted 6/24/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $280,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Rapidly implement and iterate on machine learning models, signals and research ideas
Design and run experiments to evaluate and improve model and agent performance and investment impact
Build reproducible workflows for feature generation, training, validation and evaluation
Work with large-scale financial, fundamental and alternative datasets to identify predictive signals and improve model performance

Requirements

What you’ll need

5+ years experience as a Machine Learning Engineer, or related role
Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or similar
Strong Python and SQL skills, with experience working with large-scale datasets
Experience developing, evaluating and deploying machine learning models in production environments
Success building reproducible research workflows and experimentation frameworks
Familiarity with modern AI systems, including LLMs, evaluation frameworks, and agent workflows
Skill leveraging Claude Code, Codex, or other coding agents
BS/MS/PhD in Computer Science or a related field, or equivalent practical experience

Benefits

Comp & perks

excellent medical, dental, and vision coverage
catered lunches in our Menlo Park office
commuter benefits
relocation allowance available

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningPythonSQLlarge-scale datasetsmodel evaluationmodel deploymentreproducible research workflowsexperimentation frameworksLLMsagent workflows

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer Science