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Clear Street
Clear Street
201 – 500 Darbinieki
H1B vīzas sponsorsFinansesKonsultācijasLoģistika
Clear Street izstrādā finanšu infrastruktūru institucionālajiem klientiem, vienā platformā apvienojot norēķinu, aktīvu glabāšanas, darījumu izpildes un galvenā brokera pakalpojumu iespējas. Uzņēmuma mākoņdatošanas tehnoloģija ir veidota, lai aizstātu novecojušas finanšu sistēmas un nodrošinātu vienotu darbības pamatu dažādām aktīvu klasēm, valstīm un valūtām. Uzņēmums apvieno finanšu, tehnoloģiju un saistīto operatīvo jomu komandas, lai modernizētu veidu, kā institūcijas pārvalda sarežģītus globālos tirgus.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
180 000 $ – 250 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PostgresReactReact NativeRustTypeScript

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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