3 months ago
London, United KingdomStaff+
Responsibilities
- Own large new areas within the Scale Generative AI product.
- Work across backend and frontend systems while interacting with LLMs and ML models.
- Deliver high-velocity, high-quality experiments that engage customers.
- Work across the full product lifecycle from conceptualization through production.
- Solve challenging scalability and reliability problems in large-scale distributed systems.
- Multitask and learn new technologies quickly.
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 other emerging AI technologies.
- Proficiency in Python or JavaScript/TypeScript and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers such as AWS, Azure, or GCP.
Categories
Forward DeployedML Engineering
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.