Opening. We are looking for an Applied AI Engineering Manager to join our team. As an AAI Engineering Manager, you will manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs.
What you'll do
- 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.
What you need
- 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.
