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Clear Street
Clear Street
201 – 500 Employees
H1B Visa SponsorConsultingFinanceLogistics
Clear Street develops financial infrastructure for institutional clients, combining clearing, custody, execution, and prime brokerage capabilities in one platform. Its cloud-native technology is designed to replace legacy financial systems and provide a unified operating foundation across asset classes, countries, and currencies. The company brings together teams working across finance, technology, and related operational disciplines to modernize how institutions manage complex global markets.
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Senior Growth Data Scientist

Improve the evaluation, reliability, and safety of Clear Street’s AI copilot. The role supports a cloud-native brokerage and trading platform for sophisticated investors.

USUnited States
$180,000 – $250,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
PostgresReactReact NativeRustTypeScript

Description

  • Set the reliability and quality standards for an AI copilot within a trading platform for sophisticated investors.
  • Create evaluation systems to measure correctness, safety, latency, and regression risk across market analysis, portfolio and risk reasoning, and trading workflows, including order placement.
  • Build and maintain curated reference datasets, scenario tests, adversarial cases, and test corpora covering different market regimes.
  • Create automated quality checks and regression workflows that stop releases when key metrics fall.
  • Work with engineering and product teams to establish safe tool and action contracts, predictable previews and confirmations, audit trails, and consistent assistant behavior.
  • Lead model improvement cycles through data collection and labeling, error classification, prompt and tooling updates, fine-tuning, or preference optimization.
  • Run AI monitoring and incident response, including telemetry, alerts, root-cause analysis, and corrective releases.
  • Build a strong understanding of trading concepts and explain them clearly and accurately to users.
  • Use Rust, TypeScript, Postgres, React, React Native, observability and telemetry tools, LLM APIs, model serving, and evaluation and training pipelines.

Requirements

  • At least eight years of experience delivering production software.
  • Strong proficiency in at least one programming language.
  • Solid understanding of computer science fundamentals, testing methods, and systems design.
  • Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems such as LLMs, agents, search, retrieval, ranking, or recommender systems.
  • Experience running model improvement cycles, including dataset curation, labeling and quality assurance, offline experiments, and deploying changes with measurable benchmark gains.
  • Ability to define metrics, build measurement pipelines, and use data to guide engineering and product decisions.
  • Comfort working across the stack, from debugging model and tooling failures and instrumenting services to collaborating with frontend and product teams on safer, more trustworthy user experiences.
  • Self-motivated and willing to tackle unfamiliar areas to solve problems.
  • Bonus: Experience with fine-tuning, preference optimization, distillation, or prompt and compiler techniques to improve tool-use reliability.
  • Bonus: Experience creating domain-specific benchmarks and adversarial test suites for high-stakes applications.
  • Bonus: Deep experience trading across asset classes and margin types.
  • Bonus: Experience with Rust and performance-sensitive services.
  • Bonus: Experience designing incident response and service-level objectives for ML and AI systems.

Benefits

  • Company equity
  • 401(k) matching
  • Gender-neutral parental leave
  • Medical, dental, and vision insurance
  • Lunch stipends
  • Fully stocked kitchens
  • Happy hours
  • Convenient location
  • Scenic views
  • Collaborative culture
  • Equal opportunity workplace

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