Job Location : New York,NY, USA
About ScaleAt 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), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.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. The data we are producing is some of the most important work for how humanity will interact with AI.About our Outlier teamOur Outlier team is responsible for developing a first-class experience that leads to a low friction, high polish, and high trust experience for vetted high-quality GenAI contributors. The team owns and develops critical contributor workflows that provide our contributors with transparency, cohesiveness & choice. We're building the world's top expert platform, with the goal of attracting the best experts across all relevant fields, and making it fun and interesting for them to train the next generation of LLMs.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 in a fast paced, high growth tech environment is preferred.Track 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#J-18808-Ljbffr