
201 - 500 employees
đź’Ľ Consulting
📦 Logistics
đź’¸ Finance
Consulting • Logistics • Finance
Clear Street is building financial infrastructure for today's institutions. Clients of all sizes use our clearing, custody, execution, and prime brokerage platform to operate their businesses. The financial industry still relies on outdated technology developed in the 1970s. Clear Street started from scratch by building a completely cloud-native, clearing and custody system designed for today’s complex, global market. Our mission is to build a modern, single source-of-truth platform capable of handling every asset class, in every country, and in any currency.
🔥 2 minutes ago
🇺🇸 United States – Remote
đź’µ $200k - $350k / year
⏰ Full Time
đźź Senior
🤖 Artificial Intelligence
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201 - 500 employees
đź’Ľ Consulting
📦 Logistics
đź’¸ Finance
Consulting • Logistics • Finance
Clear Street is building financial infrastructure for today's institutions. Clients of all sizes use our clearing, custody, execution, and prime brokerage platform to operate their businesses. The financial industry still relies on outdated technology developed in the 1970s. Clear Street started from scratch by building a completely cloud-native, clearing and custody system designed for today’s complex, global market. Our mission is to build a modern, single source-of-truth platform capable of handling every asset class, in every country, and in any currency.
• Own the reliability and quality bar for an AI copilot embedded in a trading platform used by sophisticated investors • Design and build evaluation systems measuring correctness, safety, latency, and regression risk across market analysis, portfolio/risk reasoning, and trading workflows including order placement • Develop and maintain benchmarks including curated 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 with deterministic previews, confirmations, and auditability • Own model improvement loops tied to evaluations, including data collection/labeling strategies, error taxonomy, prompt/tooling changes, and appropriate fine-tuning or preference optimization • Design and operate AI monitoring and incident response, including telemetry, alerting, root-cause analysis, and fix-forward processes • Develop deep understanding of trading concepts such as margin, shorting, portfolio margin, risk, and execution, and express them accurately to users • Work with the technology stack: Rust, TypeScript, Postgres, React, React Native, observability/telemetry tooling, LLM APIs, model serving, and evaluation/training pipelines
• At least Eight (8) years of experience shipping production software • Strong proficiency with any programming language • Strong knowledge of computer science fundamentals, testing methodology, and systems design • Experience building evaluation frameworks, test harnesses, and benchmark suites for complex systems (LLMs/agents/search/retrieval/ranking/recommenders) • 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 engineering/product decisions from data • Comfort working across the stack: debugging model/tooling failures, instrumenting services, and partnering with frontend/product on UX patterns that improve safety and trust • High degree of self-motivation and willingness to jump into unfamiliar areas to solve problems • Bonus: Experience with fine-tuning, preference optimization, distillation, or prompt/compiler-style techniques for improving tool-use reliability • Bonus: Experience creating domain-specific benchmarks and adversarial suites for high-stakes applications • Bonus: Deep experience with trading across asset classes, margin types, etc. • Bonus: Experience with Rust and performance-sensitive services • Bonus: Experience designing incident response and SLOs for ML/AI systems
• Company equity • 401k matching • Gender neutral parental leave • Full medical, dental and vision insurance • Lunch stipends • Fully stocked kitchens • Happy hours • Great location • Amazing views • Equal opportunity workplace
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