Research Scientist, Machine Perception (PhD) at Meta
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machine learning
Deep Learning
computer vision
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 creative, 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. You will work with Research Scientists, Software Engineers and Hardware Engineers to design technical solutions in a fast-paced multidisciplinary environment.
- Work with researchers to develop novel input technologies for VR, MR and AR systems based on Computer Vision and Machine Learning.
- 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 PhD in the field of Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 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.
- 5+ years of experience in researching and developing novel computer vision and Machine Learning Algorithms and Systems in academia or industrial settings.
- Development skills with 3+ years of experience working with Deep Learning.
- Experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality Computer Vision and Machine Learning datasets.
- Technical knowledge across a range of topics including Machine Learning, Optimization, Bayesian Statistics and State Estimation.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- 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.
- Experience working and communicating cross functionally in a team environment.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- 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 or similar.
- Experience innovating research ideas for new problem domains or for fitting new constraints.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Locations
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$117,000/year to $173,000/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.