Senior Growth Data Scientist — AI for Trading Platform

Teli Labs; United States; Sur place; USD 180 000 - 250 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Company equity

401k matching

Parental leave

Health insurance

Lunch stipends

Stocked kitchens

Happy hours

Great location

Amazing views

Résumé du poste

Clear Street is seeking a Senior Growth Data Scientist to own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors.

You will design evaluation systems to measure correctness, safety, latency, and regression risk; build benchmarks and automated quality gates; and collaborate with engineering and product on safe contracts. This role demands deep understanding of trading concepts and hands-on ML/data experience.

Qualifications

• At least eight years of experience shipping production software.
• Strong knowledge of computer science fundamentals, testing methodologies and systems design.
• Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems (LLMs/agents etc.).
• Experience running model improvement cycles: dataset curation, labeling/QA, offline experimentation, and deploying changes with measurable impact on benchmarks.
• Ability to define metrics, build measurement pipelines, and drive decisions from data.
• Comfort across the stack: debugging model/tooling failures, instrumenting services, and collaborating on UX patterns to improve safety and trust.
• High degree of self-motivation and willingness to explore unfamiliar areas.

Responsabilités

• Own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors.
• Design and build evaluation systems that measure correctness, safety, latency, and regression risk across market analysis, portfolio/risk reasoning, and trading workflows.
• Develop and maintain benchmarks: golden sets, scenario suites, stress/adversarial cases, and refreshed market/regime-based test corpora.
• Build automated quality gates and regression workflows that block releases when key metrics degrade.
• Partner with engineering and product to define safe tool/action contracts and ensure deterministic previews and auditability.
• Own model improvement loops: data collection/labeling strategies, error taxonomy, prompt/tooling changes, and fine-tuning or preference optimization when appropriate.
• Design and operate monitoring and incident response for AI: telemetry, alerting, RCA, and fix-forward processes.
• Develop a deep understanding of trading concepts (margin, shorting, risk) and express them clearly to users.

Connaissances

Production software

Systems design

Evaluation frameworks

Model improvement

Metrics definition

Data pipelines

Cross-functional

Outils

Rust

PostgreSQL

TypeScript

React

LLM APIs

Model serving

Description du poste

Clear Street is seeking a Senior Growth Data Scientist to own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors.

You will design evaluation systems to measure correctness, safety, latency, and regression risk; build benchmarks and automated quality gates; and collaborate with engineering and product on safe contracts. This role demands deep understanding of trading concepts and hands-on ML/data experience.