Key technologies and capabilities for this role
Common questions about this position
The salary range is $160,000 - $254,400 USD.
Benefits include comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipend, generous PTO, and potentially a commuter stipend. Compensation also includes base salary, equity, and equity-based compensation subject to Board approval.
This information is not specified in the job description. Please reference the job posting’s subtitle for the location.
Requirements include 5+ years of full-time engineering experience post-graduation, experience scaling products at hyper-growth startups, tinkering with or productizing LLMs, vector databases, and AI technologies, proficiency in Python or Javascript/Typescript and SQL, experience with Kubernetes, and major cloud providers (AWS, Azure, GCP).
A strong candidate has 5+ years of engineering experience, has scaled products at hyper-growth startups, worked with LLMs and AI technologies, and has hands-on experience with Python/Javascript, SQL, Kubernetes, and cloud providers.
AI platform for data and models
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.