Scale AI, Inc.
Senior Fullstack Software Engineer, GenAI Violations
Scale AI, Inc., San Francisco, California, United States, 94199
About Scale
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), 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 Engine
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.
About our Fraud team
The Fraud team works on preventing violations to our terms and service. They protect our platform against potential fraud, cheating, and abuse that are emerging in the GenAI era. The team works at the intersection of machine learning, analytics, and security.
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 5 years of relevant experience is preferredExperience in risk prevention, machine learning, or analytical workTrack 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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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), 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 Engine
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.
About our Fraud team
The Fraud team works on preventing violations to our terms and service. They protect our platform against potential fraud, cheating, and abuse that are emerging in the GenAI era. The team works at the intersection of machine learning, analytics, and security.
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 5 years of relevant experience is preferredExperience in risk prevention, machine learning, or analytical workTrack 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