Engineering Manager, Computer Vision
Meta

Meta's Reality Labs (RL) is working to bring people together through advanced Augmented and Virtual reality (AR/VR) products. With a focus on research and development in areas like computer vision, machine learning, and haptics, RL is committed to driving innovation forward. The potential for AR/VR to change the way we interact with each other is immense. By developing new hardware and software products that can understand human appearance, movement, and expression, we aim to make it possible for people to feel like they are directly in front of each other, even if they are separated by vast distances.Our goal is to enable a metaverse where people can share virtual experiences that interact seamlessly with the real world. To achieve this, our XR Codec Interactions and Avatars organization is focused on developing technologies that enhance social presence and interaction through Codec Avatars and other advanced XR technologies. Your job will involve managing and partnering with groups that work on projects ranging from research to product development. You will be in charge of our technical investment portfolio, which supports our Calibration team. Your responsibilities will include overseeing a wide range of advanced technologies used in specialized data collection systems and XR prototypes. To be successful in this role, you should have a strong understanding of the relevant technologies and be able to make informed decisions about managing our portfolio, allocating resources, and planning for the future.

Engineering Manager, Computer Vision Responsibilities:

• Leading an organization of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Robotics, Computer Vision and Machine Learning technologies.
• Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create architectures that can deliver these requirements.
• Engaging cross-functionally with other researchers and engineers to develop concepts that advance our collection pipelines across hardware, software, integration, infrastructure, and applications.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
• Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
• Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
• Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
• Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
• Provide technical leadership and guidance to both your team members and your project peers.

Minimum Qualifications:

• BS degree in Engineering, Physics, Computer Science or equivalent experience.
• Experience of people management in multi-disciplinary global teams at the intersection of tech and product, including building performing teams and organization.
• Experience supporting an engineering and research organization through technical leadership.
• Demonstrated experience in recruiting and managing technical teams, including performance management.
• Experience in managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end.
• Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentoring team members.
• Technical experience in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics).
• 3+ years experience coding in at least one of the following languages: C++ and/or Python.
• Experience with code reviews, diff management, and continuous integration/continuous deployment (CI/CD) pipelines.

Preferred Qualifications:

• MSc or PhD in a related field of Computer Vision, or AI/Machine Learning in domains related to SLAM/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, robotics or 3D geometry.
• Experience managing joint hardware-software development and associated rapid prototyping projects.
• Experience in leading teams interfacing with HW (ie, sensors, cameras, robotic arms) teams in setting requirements and product tradeoffs.
• Flexibility and resilience in a dynamic environment.
• Knowledge of security best practices and experience with implementing secure coding standards.
• Familiarity with testing frameworks and methodologies (e.g., unit testing, integration testing, test-driven development).

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