JOB-1995
A fast-growing startup that supplies data and evaluation infrastructure to frontier AI labs needs a generalist engineer. The scope is deliberately wide, and the person who joins will take full ownership of projects instead of working a narrow lane.
What the work looks like
- Prototype reinforcement-learning environments based on published research
- Launch distributed experiments on Kubernetes
- Keep web dashboards dependable and build streaming pipelines for annotator analytics
- Design scalable APIs and platforms that combine automation with human review
- Partner with research, product and design colleagues to ship quickly, and take part in code and design reviews
- Work directly with researchers at AI labs who rely on the platform
Who fits
- Two to five years as a full stack engineer, with a history of building things from start to finish
- Strength across Next.js/React, Node.js or Python, and Kubernetes
- Familiarity with Kafka, Redis or Elasticsearch is a plus
- Experience at a high-growth startup
- Poise in a client-facing setting with technical researchers
- A strong bias toward taking ownership
On-site in the San Francisco Bay Area, in the office five days a week with flexible hours. Visa transfers are considered.
