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Oculus VR · 9 hours ago

Research Engineering Manager

Redmond, WA

Full-time

Onsite

Director/Executive

$219K/yr - $301K/yr

12+ years exp

Oculus VR is part of Meta, focusing on developing AR and VR technologies. The role involves leading a team of engineers and researchers to build technology stacks for AI glasses and cloud integration, while also driving engineering efforts and establishing operational effectiveness.

3D TechnologyArtAugmented RealityConsumer ElectronicsDigital EntertainmentSoftwareVideo GamesVirtual RealityVirtualization

Growth Opportunities

Responsibilities

Lead and support a team of engineers and research scientists to build the full technology stack across Ai glasses and the cloud, integrating systems that span multi-modal LLMs and real-time computer vision

Partner with Research Program Management in developing a research/incubation/productization roadmap and strategy

Be both a technical leader and people manager

Communicate cross-functionally and drive engineering efforts

Partner closely with many Meta internal partner teams to create shared roadmaps and deliver on the product vision

Champion engineering and operational effectiveness, establishing metrics and processes for regular assessment and improvement for production ML/CV/Contextual AI pipelines

Establish project frameworks and development processes

Communicate with the leadership

Qualification

Multi-modal Large Language ModelsComputer Vision3D Machine PerceptionData Fusion/OptimizationTechnical ManagementPeople ManagementMachine LearningRecruitingInterpersonal CommunicationLeadershipMentoring

Required

6+ years of people management experience, including demonstrated success in creating and growing research engineering organizations (e.g., teams of 20+ scientists and engineers) and delivering production systems

12+ years of industry experience, including 5+ years as an individual contributor and 6 years managing, spanning software engineering, research, and technical management

Demonstrated expertise and technical leadership in Multi-modal Large Language Models (LLMs), Computer Vision (including 3D Machine Perception), Robotics, and multi-sensor data fusion/optimization

Demonstrated experience in recruiting and managing technical teams, including performance management

Leadership and interpersonal communication experience in working across many disciplines, drive best practices, and mentor team members

MS degree in Engineering, Computer Science or equivalent

Preferred

Experience leading a team to ship version one products, including developing and implementing machine learning and computer vision aspects of projects utilizing deep learning models on multi-sensor edge devices

Experience managing teams that successfully productize Computer Vision (CV), 3D Machine perception (e.g., using images and point clouds for classification and dimensioning), and AI/ML technologies from conception to end, including establishing scientific vision for new programs based on multi-modal LLMs

Experience managing joint hardware-software development, specifically designing and driving to production multi-sensor ensemble machine learning and computer vision systems for real-time decision making

PhD degree in Engineering, Computer Science or equivalent