6 hours ago
Delhi, IndiaMid Level
Responsibilities
- Deliver critical data solutions for leading AI companies and government agencies.
- Collaborate daily with technical customers to understand challenges and translate them into engineering solutions.
- Design, build, and deploy features across front-end interfaces, back-end systems, and infrastructure.
- Run rapid, high-quality experiments and iterate based on customer needs.
- Contribute to large-scale system architecture, customer-facing application design, product direction, and engineering culture.
Requirements
- At least 4 years of relevant experience is preferred.
- Demonstrated success shipping high-quality products and features at scale.
- Strong problem-solving, coding, independent working, and collaboration skills.
- Ability to translate business and product ideas into engineering solutions.
- Ability to communicate complex technical concepts to technical and non-technical audiences.
- Ability to adapt quickly to the evolving generative AI field.
- Preferred: experience with large-scale data processing and distributed systems, machine learning and AI concepts, enterprise customers, and cloud-based infrastructure.
Benefits
- The role provides direct exposure to leading generative AI companies, AI research labs, and government agencies.
- The position offers opportunities to lead critical projects, shape engineering culture, and grow toward future leadership.
- Scale is an inclusive and equal opportunity workplace committed to reasonable accommodations.
Categories
Forward Deployed
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.