Technical Staff Member – Machine Learning

Poesis AI

. Find predictive signals in large financial, fundamental, and alternative datasets .

Posted 10/13/2026full-timeMenlo Park • California • United StatesLead💰 $200,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models using large financial datasets, with a strong focus on quantitative analysis and risk management. Capable of turning research into production-ready systems while influencing investment decisions through data-driven insights.

Highest-signal resume keywords

Machine Learning Model DevelopmentQuantitative AnalysisFinancial Data AnalysisModel Evaluation DesignRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisStatistical ModelingExperimental DesignModel DeploymentQuantitative JudgmentTime-Series AnalysisAI Systems DevelopmentReproducible ResearchSignal Processing

Soft Skills

OwnershipProblem-SolvingCollaborationCommunication

Certifications & Qualifications

BS in Computer ScienceMS in Computer SciencePhD in Computer Science

Industry Keywords

Quantitative InvestingPortfolio ConstructionRisk ManagementFinancial DataAlternative DatasetsFrontier AI LabHigh-Growth Technology CompanyInvestment Management

About the role

Key responsibilities & impact

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
Build models, signals, and evaluation tools for alpha discovery, decision-making, and intelligent risk management
Work on complex, real-world financial data and influence actual investment decisions
Help shape the product and company operations as an early team member
Build from first principles without legacy systems or entrenched processes

Requirements

What you’ll need

Experience at a frontier AI lab, agentic startup, high-growth technology company, leading investment manager, or similar organization
Experience developing, evaluating, and deploying ML models in production
Understanding of model failure modes, evaluation design, and distinguishing promising results from noise
Strong quantitative judgment
Experience working with large, complex datasets
Ability to take ownership of open-ended research problems and use evidence to decide what to pursue next
BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience
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
Current legal authorization to work in the US required

Benefits

Comp & perks

Equity
Carry (share of fund profits)
Excellent medical coverage
Dental coverage
Vision coverage
Catered lunches
Commuter benefits
Relocation allowance
Continuing work visa sponsorship available for full-time employees