Meta is seeking a Research Engineer with a background in computer vision to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. We address fundamental research challenges and explore creative new experiences that they will enable. The ideal candidate will have industry experience working on a range of topics, including experience working on training vision, multimodal, or video models. The position will involve taking these skills and applying them to solve some of the most crucial & exciting research problems. We are hiring in multiple locations. Research Engineer - Computer Vision - FAIR Responsibilities:

• Develop highly scalable algorithms based on machine learning and neural network methodologies.
• Collaborate with FAIR scientists on novel research in self-supervised learning and computer vision.
• Contribute to experimental design, implementation, evaluation, analysis and reporting research results.
• Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Masters Degree in computer science or related field, or equivalent practical experience.
• 4+ years of industry experience in computer vision and/or deep learning
• Research experience in one or more of these areas: computer vision, video understanding, and/or self-supervised learning
• Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• PHD Degree in computer science or related field, or equivalent practical experience.
• 4+ years of industry, academic, or government lab experience in computer vision and/or deep learning.
• Publication record in top-tier venues such as ICCV, CVPR, NeurIPS, ICML, ICLR, etc.
• Software engineer experience demonstrated via prior work experience.

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.