Sr ML Engineering Manager, Search - Services Special Projects Apple IncSr ML Engineering Manager, Search - Services Special ProjectsCalifornia, CAUnblock the hardest problems: stay hands-on enough to jump into the most ambiguous or highest-risk technical problems, such as scaling bottlenecks, ranking regressions, or novel retrieval techniques, rather than delegating them away Drive the teams execution against the technical roadmap, from design through production delivery, and communicate progress, trade-offs, and risks to senior leadership and partner orgs. 12+ years of experience in Machine Learning, Data Science, or Software Engineering, with a significant focus on search infrastructure and information retrieval, including at least 5 years operating in a technical leadership or engineering management capacity Proven experience leading and managing engineers, including hiring, performance management, and technical mentorship of senior and staff ICs.
Cyber Identity - FDE Engineering Manager Deloitte Touche Tohmatsu LtdCyber Identity - FDE Engineering ManagerCosta Mesa, CA$155,600–$306,800 / yearDeloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components.
Executive Director, AI Infrastructure & Platform Engineering CVS Health CorpExecutive Director, AI Infrastructure & Platform EngineeringCA$175,100–$334,750 / yearReporting to the Global Head of Infrastructure/AI Operations and Service Delivery, this leader will establish operational baselines across the full infrastructure stack - hardware, network fabric, GPU clusters, storage, and the operating systems and orchestration layers above - and build the Site Reliability Engineering practice that delivers the availability, reliability, and performance that frontier AI workloads demand. The ideal candidate will bring the following experience, knowledge, and abilities: 10+ years of engineering leadership experience, with substantial time directly owning physical infrastructure at data center scale - including hardware lifecycle, capacity planning, and facility coordination (power, cooling, rack-and-stack execution).