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Member of Technical Staff Machine

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Member of Technical Staff Machine in USA new

  • Menlo Park, CA

Responsibilities

  • Find predictive signals in large financial, fundamental, and alternative datasets.
  • Design experiments and evaluations that distinguish real improvements from noise.
  • Build rigorous, reproducible ML research systems for rapid experimentation.
  • Develop and deploy production models and signals that remain effective over time.
  • Use real-world outcomes to identify how models and agents can improve.
  • Take ownership of open-ended machine learning research problems and guide priorities using evidence.

Requirements

  • Experience at a frontier AI lab, agentic startup, high-growth technology company, leading investment manager, or similar organization.
  • Experience developing, evaluating, and deploying machine learning models in production.
  • Understanding of model failure modes, evaluation design, and how to distinguish promising results from noise.
  • Strong quantitative judgment and experience working with large, complex datasets.
  • Bachelor's, master's, or PhD in Computer Science or a related field, or equivalent practical experience.

Benefits

  • Hybrid work with three days per week onsite at the Menlo Park, California office.
  • Relocation allowance available.
  • Medical, dental, and vision coverage.
  • Catered lunches and commuter benefits.
  • Continuing work visa sponsorship available for full-time employees.

Salary: $200k - $280k/yr

Poesis

Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native asset manager running autonomous agents that predict markets, construct portfolios, and manage risk. Live capital is the training ground for an intelligence that compounds with every sig...

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