Member of Technical Staff | Machine Learning

Poesis; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Catered lunches

Commuter benefits

Job summary

Poesis, an AI-native investment firm, seeks an exceptional Machine Learning Engineer to build systems powering alpha discovery, decision-making and risk management. You’ll own models, signals and evaluation frameworks across the full ML lifecycle, from experimentation to deployment.

Hybrid role with on-site collaboration in Menlo Park, CA. You’ll work with large financial datasets, apply modern AI systems, and contribute to production-grade ML workflows and agent-based signals.

Qualifications

• 5+ years experience as a Machine Learning Engineer, or related role.
• Experience developing, evaluating and deploying ML models in production environments.
• BS/MS/PhD in Computer Science or a related field, or equivalent practical experience.

Responsibilities

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

Skills

Machine Learning

Python

SQL

Production ML

Experimentation

Reproducible Workflows

LLMs

Codex/Claude

Education

CS degree or equivalent

Tools

PyTorch

TensorFlow

Codex

Claude Code

Job description

About Poesis

Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.

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 an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power investment decision-making across the platform. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes.

Responsibilities

• 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

Required Competencies

• 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

Preferred Competencies

• Experience developing ML and AI systems using financial, fundamental, alternative, or time-series datasets

• Familiarity with quantitative investing, portfolio construction, or risk management

• Experience with PyTorch or TensorFlow, and AI workflows for parsing financial documents (filings, transcripts)

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.