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