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Research Scientist Intern, Perception (PhD)

AT Meta
Meta

Research Scientist Intern, Perception (PhD)

San Francisco, CA

Meta is seeking Research Interns to join the Fundamental AI Research (FAIR) Perception teams. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in the areas of Computer Vision, Natural Language Processing, Machine Learning, and Deep Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, Perception (PhD) Responsibilities:

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  • Perform research that enables learning the semantics of data (primarily images, video, 3D structures, text, and other modalities like audio).
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem.
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.
  • Contribute to ongoing research projects and impactful technology releases.
  • Draft and polish research publications.
  • Present research outcomes to internal and/or external audiences.
Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field.
  • Research and/or work experience in Computer Vision. In particular: recognition, 2D/3D localization, segmentation and tracking of objects, people, and activities, and/or 3D pose estimation and 3D reconstruction, and/or grounded image and video understanding, egocentric vision, vision-language foundational models, un-/semi-/supervised representation learning, and related areas.
  • Research and/or work experience in Machine Learning or Deep Learning with applications to perception.
  • Experience in Python, C++, or other related languages.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV), Speech & Language (ACL, EMNLP, ICASSP, NAACL), Machine Learning (NeurIPS, ICLR, ICML, AAAI) or Computer Graphics (SIGGRAPH).
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience advancing AI techniques, including contributions to open source libraries and frameworks.
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
  • Experience in utilizing theoretical and empirical research to solve problems.
  • Experience working and communicating cross functionally in a team environment.
  • Intent to return to the degree program after the completion of the internship/co-op.
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.

$7,800/month to $11,293/month + 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): San Francisco, CA, USA
Job ID: a1KDp00000E2J3LMAV_1002
Employment Type: Intern

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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