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Research Scientist, Computer Vision/Wearables

AT Meta
Meta

Research Scientist, Computer Vision/Wearables

Redmond, WA

At Meta Reality Labs, we are developing wearable sensing technologies that will define the future of AI experiences. We are looking for a creative, skilled, and motivated Research Scientist to join our team in advancing the state-of-the-art of computer vision and multi-modal sensing with wearables, including action and gesture recognition, object detection and tracking. You will work with research scientists, software engineers and hardware engineers to design wearable sensing systems in a fast-paced multidisciplinary environment. The ideal candidate is a recognized expert in the field of computer vision and machine learning and has a track record in building user-facing, real-time, interactive applications.

Research Scientist, Computer Vision/Wearables Responsibilities:

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  • Implement state-of-the-art computer vision methods for wearable AI experiences, including gesture recognition, object detection, scene understanding
  • Plan and execute research that advances the state-of-the-art and improves our wearable sensing systems
  • Collaborate across an interdisciplinary team of researchers and engineers to optimize solutions at the systems level (sensor hardware, data collections, training, evaluation, real-time inference)
  • Design and implement multi-modal models that combine cameras with other sensors, including IMUs and neural interfaces
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field
  • 5+ years of hands-on experience in researching and developing Computer Vision algorithms and systems in academia or industrial setting
  • 5+ Experience writing software (Python and C/C++) and executing complex Machine Learning experiments
  • 3+ years of experience working with Deep Learning
  • Experience working and communicating in a cross-functional, diverse team environment
Preferred Qualifications:
  • Experience with Human Computer Interaction and interactive applications of Computer Vision and Machine Learning
  • Experience with low-level image and signal processing
  • Experience with joint hardware-software development and rapid prototyping of camera and sensors hardware
  • Experience designing data collection protocols and constructing high quality Computer Vision and Machine Learning datasets
  • Experience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping product
  • Track record of significant scientific results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar
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 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$147,000/year to $208,000/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.

Client-provided location(s): Redmond, WA, USA
Job ID: a1KDp00000E22RfMAJ
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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