Build and own end-to-end features across the full stack for Scale AI's Generative AI Data Engine that powers advanced LLMs via RLHF, data generation, evaluation, safety and alignment. Requires 3+ years software engineering experience and full-stack skills with React, TypeScript, Node, Python and related tools.
180k – 225k/yr
Hybrid3+ YOEFullstack Engineering
About the role
Responsibilities
Design and implement features end-to-end across front-end, back-end, and infrastructure.
Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal.
Own high-impact technical systems that are critical to Scale’s revenue delivery.
Build and iterate on complex systems that scale to millions of tasks per week.
Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders.
Help shape the engineering culture, values, and best practices of a fast-growing team.
Requirements
3+ years of relevant software engineering experience.
Track record of building and shipping products at scale.
Ability to thrive in a fast-paced, high-ownership environment.
Strong product intuition and problem-solving skills.
Experience across the stack: React, Typescript, Node, Python, etc.
Excited to join a hybrid team based in San Francisco or New York City.
Nice-to-Haves
Experience with ML, operations, and analytics at the intersection to deliver high-quality data at scale.
Interest in teams such as Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience.
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