Senior Software Engineer, GenAI

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

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

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.

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.