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Scale AI, Inc.

Software Engineer, GenAI Violations

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


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 teamCollaborate 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

Compensation and Benefits:

Compensation 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. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

Location:

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000 — $192,000 USD.

Equal Opportunity Employment:

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. 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.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

We comply with the United States Department of Labor's Pay Transparency provision.

Privacy Policy:

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

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