Staff Software Engineer, Enterprise GenAI
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 15H AGO
Infrastructureonsitestaff$252k–$315k
At a glance
Highlights
- Own large new areas of Scale's enterprise GenAI platform end to end.
- Build APIs for knowledge retrieval, inference, and evaluation at scale.
- Solve hard scalability and reliability problems in fast-paced environment.
What they offer
- equity based compensation
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend
Ideal candidate
Product-minded builder with deep distributed systems experience who thrives owning ambiguous areas end to end and shipping high-quality experiments fast in hyper-growth environments. You learn quickly and care deeply about scalability and reliability.
Requirements
- 7+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta