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Research Scientist, Multi-modal AI

AT Meta
Meta

Research Scientist, Multi-modal AI

San Mateo, CA

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most by enabling compelling experiences in novel computing platforms: SmartGlasses and VR headsets . We are a team of world-class experts developing and shipping products pushing the envelope in both AI and compute. The Core-AI team brings together a team of applied Vision-Language researchers and systems ML experts working on a range of foundational problems in perception, vision-language models, generative models and model optimization. We do a mix of fundamental research and technology development. We are seeking researchers with a passion to bring the power of generative vision and language models to resource constrained settings.

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Research Scientist, Multi-modal AI Responsibilities:
  • Drive the organization's goal towards relevant machine learning techniques in the area of multi-modal understanding and generation to build & optimize our intelligent systems that improve Meta's products and experiences
  • Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
  • Conduct applied research to advance the State of the Art in efficient generative models(Diffusion models, Multi-modal LLMs, Vision Language Action models) and efficient perception models (Scene and Video understanding)
  • Apply research to advance Meta's smartglasses and VR product lines.
  • Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes.
  • Collaborate with different cross-functional teams across the globe in research and product.
  • Present the outcomes of the research findings as papers in world class conferences in the area.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience leading research projects with industry-wide impact
  • Proven development skills in Deep Learning, working with PyTorch or TensorFlow.
  • Experience developing deep learning models or infrastructure in Python or C/C++.
  • Experience in one or more of the following areas: deep learning, Computer Vision, language models, Machine Learning or artificial intelligence
  • First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS
Preferred Qualifications:
  • PhD in Computer Science or a related field with published projects in the fields of machine learning, Deep learning with a focus on vision-language models
  • Experience solving complex problems and comparing alternative solutions, trade-offs, and different points of view to determine a path forward.
  • Experience with CPU/GPU and mobile optimization.
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: a1KDp00000E2Wp0MAF
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

Company Videos

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