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Member of Technical Staff (Machine Learning)

poesis ai • United State
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AI Summary

Develop and deploy machine learning models and signals for autonomous investment agents. Design rigorous evaluation systems to distinguish real improvements from noise in complex financial data. Requires strong quantitative judgment and experience with production ML systems in high-growth or frontier AI environments.

Key Highlights
Build predictive signals from large financial, fundamental, and alternative datasets.
Design experiments and evaluations to separate real improvements from noise.
Turn promising research into production models that hold up over time.

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Key Responsibilities
Find predictive signals in large financial, fundamental and alternative datasets.
Design experiments and evaluations that separate real improvements from noise.
Build rigorous, reproducible ML research systems for fast experimentation.
Turn promising research into production models and signals that hold up over time.
Use real-world outcomes to understand where models and agents can improve.
Technical Skills Required
Machine Learning Python Data Analysis

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Benefits & Perks
Medical, dental, and vision coverage
Catered lunches
Commuter benefits
Relocation allowance

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Nice to Have
Experience developing ML or AI systems using financial, fundamental, alternative, or time-series data.
Familiarity with quantitative investing, portfolio construction, or risk management.
Experience applying modern AI systems to financial documents (filings, transcripts, etc).

Job Description

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.
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Job Overview
Posted Date Oct 13, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Machine Learning
Company poesis ai
Mentioned Skills
artificial intelligence ai machine learning

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