Enterprise Solutions Engineer
CrowdboticsFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Salary information is incomplete - details to be provided.
The position is hybrid.
Requirements include a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field (or equivalent), strong engineering background with data-driven ML experience, proficiency in Python and libraries like NumPy and Pandas, familiarity with cloud stacks like AWS or GCP, and ability to translate business requirements into technical solutions.
This information is not specified in the job description.
Strong candidates will have a quantitative degree or equivalent engineering background, proven data-driven ML experience, Python proficiency, cloud familiarity, and the ability to turn business needs into technical ML solutions; nice-to-haves include software best practices, production GenAI experience, and LLM knowledge.
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.