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Join the team shaping the future of AI at Scale. 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.
Job Responsibility:
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