About the position
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the development of AI modalities to pave the road to Artificial General Intelligence (AGI). Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. The Frontier Data team builds datasets to enhance cutting edge LLM capabilities. The team partners closely with leading-edge research and development efforts from AI labs to scale up human data in new modalities. Examples of current data products supported include agentic workflows, real-time audio data, and reinforcement learning environments. Frontier Data supports the entire lifecycle of human data input for new modalities: Initial data architecture, prototyping, and definition; Development of collection tooling, quality control, and management; Operational scaling across thousands of expert human data collectors; Performance evaluation frameworks to prove data efficacy; Testing environments and benchmarking. As Engineering Manager, you will manage the team of engineers and work closely with our customers, internal ML researchers, and operators to define, build, and support these data products.
Responsibilities
- Manage the engineering team and drive technical delivery for Frontier Data
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Build features end-to-end: front-end, back-end, system design, debugging and testing
- Influence the culture, values, and processes of a growing engineering team
- Inspire and mentor less experienced engineers
Requirements
- At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred
- Track record of shipping high-quality products and features at scale
- Desire to work in a very fast-paced environment
- Ability to turn business and product ideas into engineering solutions
- Excellent problem-solving skills, and be able to work independently or as part of a team
- Excited to join a dynamic, hybrid team in either San Francisco or New York City
Nice-to-haves
- Experience working on Agent-related products or research is a plus
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend (may be eligible)
