At Scale AI, our mission is to accelerate the development of AI applications. Scale is a leading AI data foundry, enabling data capabilities for generative AI, defense applications, and autonomous vehicles. We are building on 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 produce supports how humanity will interact with AI.

Our Approach

As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams power Scale's AI data operations-from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through trusted safety and security measures.

• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
• Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability
• Strong technical depth in one or more areas: Front End frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and other factors, including job-related skills, experience, interview performance, and education or training. Eligible employees are granted equity-based compensation, subject to Board approval. Recruiters can share the specific salary range for your location during the hiring process, and confirm whether the role is eligible for equity.

Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for the location. For pay transparency, the base salary range for this Full time position in San Francisco, New York, and Seattle is: $216,200 - $270,250 USD.

Scale AI is an equal opportunity employer. We provide reasonable accommodations to qualified applicants and employees. If you need assistance during the application or recruiting process, please contact (see below) We comply with applicable equal employment opportunity laws and disclosure requirements where applicable.