Scale is accelerating the development of AI applications, including generative AI, defense applications, and autonomous vehicles. The mission is to build complex AI agents for enterprises through the Scale Generative AI Platform (SGP), and the ML Engineering Manager role is critical in managing teams that train AI models to meet enterprise customer needs.
Requirements
- At least 3 years of model training, deployment and maintenance experience in a production environment
- At least 1-2 years of management or tech leadership experience
- Strong skills in NLP, LLMs and deep learning
- Solid background in algorithms, data structures, and object-oriented programming
- Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
Responsibilities
- Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
- Manage a team of 5+ Applied AI Engineers / ML Engineers
- Work with product and research teams to identify opportunities for ongoing and upcoming services.
- Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
- Create state of the art techniques to integrate tool-calling into production-serving LLMs.
- Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
Other
- PhD or Masters in Computer Science or a related field
- Strong written and verbal communication skills to operate in a cross functional team environment
