Infrastructure Engineer - Data Platform
Role Overview
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.
Key Skills for This Role
Full Job Posting
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
About TypeSafe AI
Private frontier AI lab building reliable, general AI systems for real-world automation and decision-making.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at TypeSafe AI
Head of Legal
San Francisco, USA
Data Demons
San Francisco, USA
Software Engineer Generalist
San Francisco, USA
Full-Stack/Front-end Engineer
San Francisco, USA
Data Platform Engineer
San Francisco, USA
Console Engineer (Full-Stack)
San Francisco, USA
Product Manager
San Francisco, USA
Safety Jevroni (Contract, 6 weeks)
San Francisco, USA