What are the responsibilities and job description for the Director, Machine Learning Engineering (ML) position at SBT?
SBT is the exclusive executive recruiting firm for this confidential position.
This confidential startup company redefines AI accessibility through innovative hardware and software co-development. They are building out a team of highly technical ML engineers comprised of established industry experts constructing an entirely new architecture from the ground up.
Responsibilities
- Design, develop, and deploy machine learning models using a variety of algorithms, including Reinforcement Learning and Multi-Agent Systems
- Collaborate with cross-functional teams, including software and hardware engineers, to develop and integrate ML models
- Create and maintain MLOps pipelines to ensure efficient and scalable model deployment, monitoring, and iteration
- Architect custom hardware accelerators or software frameworks to optimize ML model performance
- Performance engineering work and evaluations to put models into production
Qualifications
- Advanced degree (MS or Ph.D.) in Computer Science, Electrical Engineering, or a related field.
- 5-10 years of relevant ML experience
- Deep understanding of MLOps including Reinforcement Learning and Multi-Agent Systems
- Software-hardware co-development is the ideal experience (SW-only expertise is also relevant)
- Strong understanding of machine learning algorithms and techniques
- Startup mentality
Relevant companies include: AI startups, Research Labs, and Hyperscalers
