Base Salary
$216k - $270k/yr
Responsibilities
- Own major full-stack product areas from design through production deployment.
- Build performant, usable, and responsive frontend experiences with React and TypeScript.
- Develop reliable Python backend services involving distributed systems, data pipelines, and ML/LLM components.
- Integrate LLMs, vector databases, and AI infrastructure to support intelligent product experiences.
- Deliver experiments and new features quickly while maintaining high quality and customer feedback loops.
- Collaborate with product, ML, and infrastructure teams to shape Scale GP’s direction.
- Learn and apply new technologies, frameworks, and tools across the stack.
Requirements
- At least 5 years of full-time engineering experience after graduation.
- Strong experience building full-stack applications with React, TypeScript, and Python.
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling.
- Proficiency with SQL and modern API development.
- Experience with Kubernetes, containerization, and microservice architectures.
- Experience with at least one major cloud provider: AWS, GCP, or Azure.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Commuter stipend may be available for eligible roles.
- Full-time position located in San Francisco, New York, or Seattle.
- Equity-based compensation may be available subject to approval.
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.