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Tbwa Chiat/Day Inc

Software Engineer, GenAI Outlier

Tbwa Chiat/Day Inc, San Francisco, California, United States, 94199


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 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 CityCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$160,000 - $192,000 USDAbout Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

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