Meta Hiring for Research Engineer at Cheyenne, Wyoming Full Time

Summary:

Reality Labs (RL) Research brings together a world-class and cross-discipline R&D team with the shared goal of developing the next generation of AR and VR experiences. In our Lab, we are revolutionizing the way we interact with each other in the era of the metaverse – in the form of a pioneering technology called codec avatars. These avatars achieve unprecedented realism, but it often demands protruding camera placement that jeopardizes the aesthetics of the headsets. A talented research engineer is now sought after to own the algorithmic exploration into topic, determining trade-offs between placement of sensors to maximally extract information, while minimizing intrusions on headset form factors. This work involves the construction of an array of cameras, synthesis of images from the perspectives of virtually placed cameras in that envelope of rays, and inference along the algorithmic pipelines for an empirical assessment of this particular set of placements, aided by a team of hardware engineers. An ideal candidate should be passionate in these areas, while contributing to other research engineering topics around codec avatars; strong scientific coding, documentation, and interpersonal communication skills are essential. Join us on the adventure of a lifetime as we make science fiction real and change the world!

Required Skills:

Research Engineer Responsibilities:

1. Design, implement and analyze the outcomes for experiments pertaining to sensor placements on mobile devices by utilizing image synthesis and face tracking techniques

2. Collaborate with fellow staff members to develop research ideas, experiments, experience prototypes, and processing pipelines to advance the SOTA in realistic telepresence

3. Optimize algorithms and pipelines towards mobile platforms with limited compute

4. Deliver readable, maintainable and scalable code in support of these activities

Minimum Qualifications:

Minimum Qualifications:

1. Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

2. Experience with languages and frameworks such as Python, C++, and PyTorch

3. Experience in developing an end-to-end ML pipeline that includes data preprocessing, model development, deployment, and optimization

Preferred Qualifications:

Preferred Qualifications:

1. Familiarity with select topics related to realistic representations of human

2. Understanding of the full machine vision pipeline from hardware to algorithms

3. Demonstrated track record of publication in top conferences such as CVPR, ECCV, and SIGGRAPH

Public Compensation:

$104,000/year to $168,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta’s Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law