Base Salary
$216k - $270k/yr
Responsibilities
- Design, build, and maintain robust full-stack systems across front-end, back-end, and infrastructure layers.
- Implement features using TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal.
- Identify operational bottlenecks with internal operators and deliver pragmatic solutions.
- Own core contributor-platform systems that affect Scale’s GenAI data pipeline and business outcomes.
- Architect and scale highly reliable, low-latency infrastructure handling millions of tasks per week.
- Partner with ML teams, Forward Deployed Engineers, and Product to support data quality and operational excellence.
- Mentor teammates and contribute through code reviews, engineering best practices, and process improvements.
Requirements
- 5+ years of software engineering experience, ideally in high-growth, product-focused environments.
- Proven experience shipping production systems at scale.
- Experience driving reliability and performance across critical infrastructure systems.
- Strong technical depth in front-end frameworks, distributed systems, data infrastructure, or developer tooling.
- Full-stack experience, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal.
- Strong product sense and ability to translate ambiguous problems into technical solutions.
- Comfort working in a fast-paced, high-ownership environment with a bias toward execution.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity-based compensation for eligible roles.
- Hybrid team based in San Francisco or New York City, with the listed base salary range covering San Francisco, New York, and Seattle.
- Full-time position with a 90-day waiting period before reconsideration for the same role.
Tech Stack
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.