Staff Machine Learning Engineer Jobs
Browse 11 exciting jobs hiring in Staff Machine Learning Engineer now. Check out companies hiring such as BetterUp, LinkedIn, iMETALX in Tacoma, Gilbert, Grand Prairie.
Lead the design and production of generative AI coaching systems at BetterUp, shaping product direction while mentoring engineers and partnering across product, design, and research.
Lead architecture and engineering for LinkedIn's Video team, building scalable, reliable video and news experiences used by professionals worldwide.
iMETALX is hiring a Principal/Staff Software Engineer to lead architecture and deployment of high-performance computer vision and ML systems for space and autonomy applications.
Lead technical integrations and productionize TwelveLabs’ video foundation models on partner platforms to accelerate company growth and joint product roadmaps.
Work as a Staff Growth Engineer at OKX to design and scale the experimentation, tracking, and recommendation systems that drive millions of users' discovery and engagement.
Lead architecture and delivery of core backend and platform systems powering EvenUp’s LLM-driven legal products, working at the intersection of backend engineering, ML systems, and platform enablement.
Huntress is seeking a Staff Analytics Engineer to drive the technical vision, architecture, and delivery of a scalable cloud analytics platform while mentoring the analytics team in a fully remote role.
Lead the design and production deployment of large-scale recommendation and predictive ML models at Hinge to improve dating outcomes for millions of users.
Senior engineering role to design and deliver AI-enabled behavior-biometrics and risk-based authentication features for Visa's large-scale secure authentication platform.
Lead architecture and delivery of large-scale ML-driven fraud detection and microservices for Sam's Club as a Staff Software Engineer on the Fraud Prevention Services team.
Blackbird.AI is hiring a Staff AI/ML Engineer to turn advanced LLM and ML techniques into dependable, explainable production capabilities that operate at scale.
