Infrastructure Engineer - Data Platform

TypeSafe is a frontier model lab. We build reliable and general AI systems to power economically valuable automation. Our mission is to usher in a new era of Transformative Artificial Intelligence (TAI): technology with the power to drive a societal shift on the scale of the agricultural and industrial revolutions.

While others chase benchmarks and academic puzzles, we’ve been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.

We’re a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we’ve been engineering the foundation for what comes after the current “state-of-the-art” — a model that actually gets things done.

About the Role

As a data infrastructure engineer, you will build the internal data platform and tooling that powers TypeSafe’s model training, evaluation, and experimentation. The systems you build will sit on the critical path of how we acquire data, evaluate model behavior, and improve our models through tight iteration loops. This data infrastructure is where much of the leverage in modern AI systems comes from!

This role focuses on building the developer-facing systems that make working with large datasets and model outputs easy, safe, and scalable.

Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including Claude Code and Cursor.

Responsibilities

• The role is wide ranging and you will wear many hats.

Responsibilities

• include:
• Design and build internal tools for managing datasets, model outputs, and evaluation results
• Create reliable systems for dataset versioning, lineage, and reproducibility
• Develop abstractions and APIs that allow research and product teams to interact with data without needing to understand underlying infrastructure
• Build tooling that accelerates data acquisition, labeling, curation, and analysis
• Create observability and debugging tools that make it easy to understand how data flows through training and evaluation systems
• Collaborate closely with research, product, and infrastructure teams to ensure data systems support rapid experimentation while maintaining correctness and reliability
• We expect that you
• Are responsible, ownership-inclined, and a team player – you believe there is no such thing as “other people’s code”
• Enjoy building tools and abstractions that improve developer productivity
• Have experience designing data systems or internal developer platforms
• Care deeply about correctness, reliability, and maintainability in systems that handle critical data
• Collaborate well with others on technical and product design, advocating for what you need and adjusting to changing requirements
• Are comfortable working in ambiguous problem spaces and building systems from first principles
• Are mission aligned and excited to go all-in
• Love being part of a team
• We Are Hoping That You
• Have previously built big things
• Have 5+ years of professional software engineering experience (3+ years working on backend, data infrastructure, or ML systems)
• Have experience designing systems that acquire, transform, and manage large datasets efficiently
• Have experience with large-scale data analysis and experimentation
• Have experience working closely with researchers or ML engineers to translate data needs into scalable systems
• Have experienced LLMs’ capabilities and limitations from implementing them in the past
• Life at TypeSafe
• We’re a small, flat, close-knit team dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.
• We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.
• We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.
• We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.
• We provide
• - Base salary of $180k-280k plus equity, based on leveling
• - 100% covered health insurance
• - Daily lunch and dinner
• - Visa sponsorships
• - 401K plans