Alpaca

We are seeking a Staff Full Stack Engineer to lead the technical direction of the team responsible for Alpaca's Trading API product. This product serves developers, traders, and institutions, and the team owns the entire customer experience, from platform access and account security to the applications used for trading. The role involves working across the full stack, including customer-facing trading applications, identity and permission systems, and integrations for partner apps and AI agents. This is a high-trust domain where system defects can have significant consequences, so we are looking for an engineer with proven experience in building and owning critical systems like identity, authorization, account models, and financial applications. While you won't manage people directly, you will lead through architecture, code, design reviews, and mentorship, acting as the senior technical anchor for the team.

Alpaca is a global leader in agent-first brokerage infrastructure, serving hundreds of financial institutions worldwide with institutional-grade APIs. Our mission is to open financial services to everyone, supported by a diverse team of experienced professionals committed to open-source contributions and fostering a vibrant community. We are backed by significant funding from top-tier investors and are looking for passionate individuals to join our dynamic, globally distributed team. The Data Platform team builds and operates the shared infrastructure for data storage, movement, and consumption across Alpaca, processing hundreds of millions of events daily. As a Data Platform Engineer, you will build and operate reliable systems across this platform, contributing to our distributed query, lakehouse, CDC, and real-time streaming infrastructure. You will own projects from implementation to production, enhancing the platform's scalability, reliability, and developer experience.

Alpaca is seeking a Senior Data Scientist, AI Evaluation to lead the measurement of our AI models and agents. In this senior individual contributor role, you will transform ambiguous quality questions into reliable ground truth, scoring methods, and evaluation loops that drive company-wide improvements. You will leverage an existing data foundation to enhance quality and accelerate the safe rollout of AI systems, owning the quality bar independently. This role is ideal for someone passionate about the correctness of AI outputs as much as their generation, who can partner with Product, Engineering, Analytics Engineering, and business stakeholders to define success, build robust evaluations, and ensure feedback loops drive iteration. If you have a strong quantitative background, a proven track record of rigorous, measurable work in evaluation, experimentation, or model validation, and desire ownership of a new evaluation practice at a rapidly growing financial services infrastructure company, we encourage you to apply.