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Research Scientist - Hearing Assistance

AT Meta
Meta

Research Scientist - Hearing Assistance

Redmond, WA

Meta's Reality Labs Research (RL-R) brings together a high-quality team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). Within RL-R, the Audio team solves complex challenges in spatial audio and amplified hearing. We leverage user and scene characteristics, and cutting edge machine learning, to deliver robust, efficient models to meet our goals. We are working for clarity on goals and priorities to move forward quickly, and escalating as needed to unblock Wearable AI, empowering everyone to harness the superpowers of this emerging technology in their daily lives. We are looking for an experienced Research Scientist to develop state-of-the-art AI algorithms to infer user needs and device behavior. In this role, you will work closely across disciplines, contributing your domain expertise, to develop novel approaches to drive device behavior. You will learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR, VR, and AI problem solving. Together, we are going to build cutting-edge prototypes, technologies, and toolsets that can define a paradigm shift in how we interact with our surroundings. We invite you to step into the adventure of a lifetime, as we make science fiction real and change the world.

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Research Scientist - Hearing Assistance Responsibilities:
  • Design, execute, and deliver results analysis of perceptual studies, evaluating new signal processing and AI approaches in the field of audio
  • Build applications in Python, Bento, MATLAB, MaxMSP, and/or Unity to drive real-time audio prototypes, demonstrations, proof-of concept, and experiments
  • Identify potential improvements in the company's software and technology products in the field of audio and AI
  • Develop data collection strategies, benchmarks, and metrics to validate and improve efficiency, scalability, and stability of audio ML & AI models
  • Collaborate with ML & AI researchers and engineers, software engineers, and program/project managers through all stages of project development to identify gaps, build solutions, and transfer technology
  • Create tools, infrastructure, and documentation to accelerate research
  • Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of Augmented Reality/Virtual Reality problem solving
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
  • PhD degree or equivalent experience in Speech Language Pathology, Audiology, Linguistics, Hearing Science, or a related field
  • 1+ year of experience in research at the intersection of speech, language, hearing, linguistics and AI, or similar experience bridging domain-specific knowledge and machine learning/AI techniques
  • Experience solving complex challenges in speech, language, or hearing as demonstrated through grants, fellowships, patents, or publications
  • Experience with core ML applications like Python and Bento
  • Experience collaborating on projects leveraging domain-specific knowledge and ML/AI techniques (e.g., via data collection for training models, supporting evaluations with domain-specific metrics and datasets)
  • Experience with prompt engineering to support research and creating experiences with LLMs
Preferred Qualifications:
  • Experience with biosignals, behavioral signals, or egocentric data from wearable sensors
  • Experience with Multimodal Deep Learning approaches and research
  • Experience with Large Language Models
  • Experience with 3D engines such as Unreal or Unity
  • Experience working in Augmented Reality/Virtual Reality
  • Experience developing software in a research environment
  • Experience valuing a broad range of experiences, perspectives, approaches, and backgrounds
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.

$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.

Client-provided location(s): Redmond, WA, USA
Job ID: a1KDp00000E2aU6MAJ
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

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