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 the Operator Group Team
The Operator Group builds the infrastructure and user-facing tools that enable Scale's operations team to deliver high-quality labeled data at scale. We work at the critical intersection of AI and human feedback, solving for performance, reliability, and usability in contributor-facing systems.
We're tackling challenges in UX, orchestration, and real-time integrations;shipping high-leverage features at speed in close collaboration with operators and the most prominent model providers in the industry. As a full-stack team embedded in the GenAI business unit, we are central to Scale's revenue delivery and customer success.
Responsibilities:- 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 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,