Research Scientist, Machine Perception (PhD)

At Meta Reality Labs, we’re developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a skilled and motivated research scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding.

In this role, you will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment.Research Scientist, Machine Perception (PhD) Responsibilities

• Work with researchers to develop input architectures that combine vision and language.
• Design and prototype interactive experiences and evaluate them through user research.
• Design and prototype data collection systems to accelerate machine learning.
• Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).

Minimum Qualifications

• 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.
• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Computer Engineering, or related field.
• Experience in developing solutions for human-computer interaction, computer vision, natural language processing, or computer graphics.
• Experience working with PyTorch or TensorFlow.
• Experience designing data collection protocols and quality control.
• Skills to innovate or extend research ideas for new problem domains or for fitting new constraints.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Interpersonal experience: cross-group collaboration.

Preferred Qualifications

• Research experience in end-to-end speech recognition or real-time statistical text decoding.
• Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.
• Experience with joint hardware-software development and associated rapid prototyping.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top-tier conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL, HCI, UIST or similar.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,१७,०००/year to $१,७३,०००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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.
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