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AI Research Scientist, Language - Core AI

AT Meta
Meta

AI Research Scientist, Language - Core AI

San Mateo, CA

Meta is looking for a skilled Research Scientist to join our Reality Labs XRTech Core AI team. Our organization is dedicated to developing innovative foundational models that enable unique and engaging user experiences across various Reality Labs products. As a AI Research Scientist with expertise in multimodal processing, understanding, and reasoning through on-device LLMs, you will play a key role in exploring how to create contextually aware AI that revolutionizes human-AI interaction. This new paradigm will transform the way we interact with and utilize AI devices from Reality Labs.In this role, you will collaborate with a diverse and interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. If you're passionate about pushing the boundaries of AI and shaping the future of human-AI interaction, we encourage you to apply for this exciting opportunity.

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AI Research Scientist, Language - Core AI Responsibilities:
  • Lead the development of research strategy, identify key opportunities and challenges, and lead the efforts to drive innovation in multimodal contextual processing, understanding and reasoning while collaborating with stakeholders to align with business objectives.
  • Independently design and develop novel algorithms and models for multimodal processing, contextual understanding, and reasoning, with a focus on privacy preservation for both server based and embedded systems.
  • Implement and benchmark solutions using python and c++ through various devices based on various metrics.
  • Collaborate with cross-functional teams, including engineers, designers, and product managers, to push the new technique innovation to product tracks.
  • Actively engage with the academic community through participation, contribution, and publication of research outcomes in top-tier conferences and journals.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Has PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience.
  • 5+ years of work experience in a university, industry, or government lab.
  • Proficient in deep learning frameworks such as PyTorch and TensorFlow, with proven experience in designing, developing, and deploying deep learning models.
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Preferred Qualifications:
  • 7+ years of work experience in a university, industry, or government lab with emphasis on AI Research in multimodal processing, including computer vision, natural language processing, sensor fusion and generative AI.
  • Proficiency in programming languages such as Python and C++ with experience in delivering models and solutions for embedding devices.
  • Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, CVPR or similar.
  • Experience taking ideas from research to production.
  • Experience in leading research initiatives and teams, with excellent communication and project management skills.
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.

$177,000/year to $251,000/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): Burlingame, CA, USA
Job ID: a1KDp00000E2GyTMAV
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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