Member of Technical Staff - Principal ML Engineer

About the Role

We are seeking a Principal Full Stack ML Engineer to join our venture studio engineering team. In this role, you will be the technical linchpin for new incubations, responsible for designing and building production-grade, end-to-end applications that leverage AI at their core. You are not just building models; you are architecting the full user journey—from intuitive front-end interfaces to robust back-end services and scalable ML pipelines. As a Principal Full Stack ML Engineer, you will provide technical leadership through architectural blueprints, rigorous code reviews, and proactive identification of engineering risks in security-conscious environments. This is a remote role, with travel expectations (~10%).

Responsibilities:

• End-to-End Product Engineering: Rapidly prototype and scale full-stack applications, ensuring seamless integration between UI, business logic, and ML inference.
• Architectural Leadership: Design modular, extensible system architectures that support rapid iteration without accruing technical debt.
• Technical Governance: Lead code reviews across the stack and serve as escalation point for engineering, infrastructure, and security decisions.
• Risk & Remediation: Identify scalability bottlenecks and security vulnerabilities and present remediation strategies.
• Bridge Research & Product: Translate experimental ML techniques into production-ready features.
• Infrastructure & Compliance: Design infrastructure aligned with government audit requirements (e.g., HIPAA, FedRAMP).
• Security-First Development: Implement IAM and secure data practices across the lifecycle.
• AI-First Product Ownership: Drive conception and execution of AI-first products, maintaining a strong bias toward applying state-of-the-art capabilities in production environments.

Qualifications:

• Bachelor’s degree in Computer Science or equivalent experience.
• 8–10 years of experience in software development with a track record of shipping full-stack products from 0 to 1.
• Expert proficiency in React/TypeScript and backend systems (Python, Rust, or Go), including API design.
• 5+ years building and operating production ML systems with focus on deployment and inference.
• Deep experience with cloud architecture and identity management (e.g., Microsoft Entra ID/Auth0/Octa) in regulated environments.
• Strong data engineering skills across SQL, NoSQL, and vector databases.
• Demonstrated experience as a technical lead or principal engineer.
• AI Innovation Mindset: Demonstrated passion for staying at the forefront of AI advancements and incorporating cutting-edge capabilities into production systems.
• U.S. Citizenship: Must be a U.S. citizen to support work on government contracts and controlled environments.

Salary Range: $200,000-300,000. This represents the typical base salary range for this position based on experience, skills, and other factors.