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Scale AI, Inc.

Fullstack Software Engineer, GenAI Model Quality EPD New York, NY

Scale AI, Inc., New York, New York, us, 10261


Fullstack Software Engineer, GenAI Model Quality

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 abundance of frontier data to pave the road to Artificial General Intelligence (AGI).About Data EngineOur 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.About our Quality teamGenerating high-quality data is the core problem our business solves. Our Quality team focuses on building web-based applications that help measure our contributors' quality. As a Software Engineer on the team, you’ll focus on building systems that monitor and flag quality issues with large-scale data collections.Responsibilities:

Own large areas within our productBuild features end-to-end: front-end, back-end, system design, debugging and testingDeliver experiments at a high velocity and level of quality to engage our customersWork across the entire product lifecycle from conceptualization through productionInfluence the culture, values, and processes of a growing engineering teamInspire and mentor less experienced engineersCollaborate with cross-functional teams to define, design, and ship new product features and experiences.Requirements:

At least 3 years of relevant experience is preferredTrack record of shipping high-quality products and features at scaleDesire to work in a very fast-paced environmentAbility to turn business and product ideas into engineering solutionsExcellent 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

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