Key technologies and capabilities for this role
Common questions about this position
The base salary range for this full-time position in San Francisco, New York, and Seattle is $188,000 - $235,000 USD. Compensation packages also include equity and benefits, with the specific range depending on location, skills, experience, and other factors.
Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and possibly a commuter stipend.
This information is not specified in the job description beyond the salary range being provided for San Francisco, New York, and Seattle. Please reference the job posting's subtitle for the location.
Ideal candidates have 5+ years of full-time engineering experience, proficiency in Python or Javascript/Typescript and SQL, experience with Kubernetes and major cloud providers (AWS, Azure, GCP), and background in scaling products at hyper-growth startups and working with LLMs or vector databases.
The role involves working in a fast-paced environment, owning large product areas, multi-tasking, learning new technologies quickly, and delivering experiments at high velocity across the full product lifecycle.
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.