Scale AI is seeking a Software Engineer to join its GenAI Operator Group. This role involves building the infrastructure and experiences that enable Scale's operations team to deliver high-quality data at scale. The Software Engineer will address foundational systems and product challenges spanning UX, orchestration layers, and real-time data integrations, partnering with leading model providers.This is a full-stack team embedded within the GenAI business unit, working directly with the humans in the loop who power the last mile of data generation. The tools built in this role directly impact Scale’s top-line revenue and AI customers shipping to production.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
Partner closely with internal operators to identify pain points and rapidly deliver solutions
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:
2+ 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
Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.