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. The 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 Trust and Safety team protects the genAI Data Engine against potential fraud, cheating, and abuse patterns that are emerging in the GenAI era. Responsibilities include owning large areas within the product, building features end-to-end (front-end, back-end, system design, debugging, and testing), delivering experiments at a high velocity and quality, working across the entire product lifecycle, influencing the culture and processes of the engineering team, and collaborating with cross-functional teams to define, design, and ship new product features. Requirements include at least 3 years of relevant experience, a track record of shipping high-quality products at scale, ability to work in a fast-paced environment, excellent problem-solving skills, and excitement to join a dynamic, hybrid team in San Francisco or New York City. Potential projects involve implementing new signals to counter fraud, building frameworks for dynamic verifications, and integrating ML models into product flows. Compensation includes base salary, equity, and benefits such as health coverage, retirement benefits, learning stipends, and PTO. The base salary range for this full-time position in San Francisco, New York, and Seattle is $188,000 - $225,600 USD. The role requires a 3x per week in-office presence in San Francisco or New York City.