Computer Vision Engineer

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today.

Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.

We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence.

Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.As Computer Vision Algorithm Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect.

What we build today could one day be the norm.

So to be here today is to truly be at the heart of change and the frontier of what's to come.

We're the people helping to define the metaverse.

We may not have all the answers.

But together, we're getting closer.We are looking for a creative, skilled and motivated algorithm engineer to join our team to build the future of communication - photorealistic telepresence.

Our aspiration is to connect people separated by distance as if they were in the same room together.

We achieve this by researching, developing and productionizing state-of-the-art methods in computer vision and machine learning for human understanding and telepresence.

These include (semi-) supervised deep learning, generative adversarial learning, active learning, depth sensing, 3D reconstruction, and rendering.

Responsibilities:

Computer Vision Engineer Responsibilities:

Conduct applied research to advance the science and technology in Computer Vision and Machine Learning (3D Reconstruction, Novel View Synthesis, Non-Rigid Tracking)

Work towards long-term ambitious research goals, while identifying intermediate milestones

Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences

Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes

Effectively define projects for other engineers to possibly solve and achieve impact based on your direction

Develop novel, accurate AI algorithms and advanced systems for large scale applications

Understand why some signals and model configurations work while others don't and drive more gain from these findings

Define use cases and develop methodology and benchmarks to evaluate different approaches

Qualification and experience:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Experience in building, leading and specializing in large-scale commercial computer vision projects from the level of researching a prototype to the level of production.

Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python

Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence

Preferred:

Preferred Qualifications:

A demonstrated experience to deliver state-of-the-art research in the CVML space into user experiences that are both impactful and bring user delight

Experience solving complex problems and comparing alternative solutions, trade offs, and broad points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices

Experience working and communicating cross functionally in a team environment

Experience with distributed systems or on-device algorithm development

Experience in face, hand or body reconstruction and tracking.

Experience in deep learning and PyTorch

Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.