Staff Software Engineer, AI Data Platform
About the role
Labelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents. We're looking for talented, experienced engineers to join us.
Responsibilities
- Eval systems that run millions of agent trajectories to measure model and product quality.
- Fine-tuning pipelines that turn evaluation signals into measurable agent improvements.
- Agent-first product surfaces: UX and infrastructure for workflows where the user is a model or an agent operator.
- The systems behind hundreds of thousands of AI interviews used to source and match freelance workers to projects.
- Infrastructure that scales to the throughput frontier labs actually need.
- Integration of the latest models and capabilities into production within days of release.
Requirements
- 4+ year track record of shipping systems customers and other engineers rely on
- You build full stack prototypes fast and they hold up. The v1 you ship becomes the foundation the rest of the team builds on.
- Strong system and API design judgement
- Hard architecture and product calls land with you. You make them, defend them under pressure, and update fast when someone else is right.
- You ship production code with coding agents daily. You know where they break and what it takes to make them reliable to further accelerate the team's velocity.
- You set direction by being the example. Other engineers reach for your designs and your code as the reference.
- You move fast in ambiguous, startup-pace environments with influence over authority.
- You have worked in all parts of the stack
- Deep proficiency in TypeScript and/or Python.
Nice to have
- Production experience building LLM- or agent-driven products.
- Designing evaluations for LLMs and agents, or producing high-quality data for ML systems.
- Background in production distributed systems, ML infrastructure, or data systems at scale.
Qualifications
- Deep proficiency in TypeScript and/or Python.
Skills
- Experience with modern tech stack designed for scalability, performance, and developer efficiency.
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
Benefits
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is $250,000 - $280,000 USD.
Pay
The expected annual base salary range for United States-based candidates is $250,000 - $280,000 USD.
Schedule
Our work style is a hybrid model with 3 days per week in office, combining collaboration and flexibility.
Life at Labelbox
Join our dedicated tech hub in San Francisco. Our environment is fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making. Career advancement opportunities directly tie to your impact. Our vision is to be part of building the foundation for humanity's most transformative technology.
Our Technology Stack
- Frontend: React.js with Redux, TypeScript
- Backend: Node.js, TypeScript, Python, some Java & Kotlin
- APIs: GraphQL
- Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
- Databases: MySQL, Spanner, PostgreSQL
- Queueing / Streaming: Kafka, PubSub
Company Information
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy
Your personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Contact Information
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