Fundamental AI Research Scientist, Computer Vision - FAIR

Meta; San Francisco (CA); On-site; USD 147,000 - 208,000; Full time

Job summary

An innovative technology firm is seeking a talented AI Research Scientist specializing in computer vision to join their Fundamental AI Research team. This role offers a unique opportunity to contribute to groundbreaking research aimed at advancing machine intelligence. You will develop cutting-edge algorithms, collaborate with a global team, and engage in impactful research that drives the evolution of AI technologies. If you have a passion for pushing the boundaries of technology and a strong background in deep learning and computer vision, this position is perfect for you. Join a community that values creativity and innovation while shaping the future of digital interaction.

Qualifications

• Expertise in AI, particularly in deep learning and computer vision.
• Experience in research and publication in peer-reviewed conferences.

Responsibilities

• Develop algorithms using advanced machine learning methodologies.
• Conduct research to enhance intelligent machine technologies.

Skills

Deep Learning

Computer Vision

Machine Learning

Reinforcement Learning

Algorithm Development

Research Communication

Education

Bachelor's Degree in Computer Science

PhD in Artificial Intelligence or related field

Job description

Fundamental AI Research Scientist, Computer Vision - FAIR

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This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$147,000.00/yr - $208,000.00/yr

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. The ideal candidate will have established expertise in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning.

Fundamental AI Research Scientist, Computer Vision - FAIR Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Conduct research to advance the science and technology of intelligent machines.
• Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
• Contribute to and apply research that advances Meta Platforms products.
• Conduct and collaborate on research projects within a globally-based team.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD degree in the field of Artificial Intelligence, Computer Vision, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• First-Author Contributions and / or Publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience communicating research for public audiences of peers.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  
  

Preferred Qualifications:

• 4+ years of work experience in an industry, university, or government lab.
  
  

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 [e-mail].

$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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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