GenAI is building out world class computer vision models and datasets. As part of this team, you will be focused on designing new computer vision algorithms capable of powering the next generation of generative models. You will work closely with other researchers to push forward novel research and develop new techniques for computer vision and generative image and video models.
Applied Research Scientist, Computer Vision Responsibilities:
- Lead the design and development of novel computer vision and machine learning algorithms
- Collaborate with cross-functional engineering and research teams in computer vision, machine learning, and graphics to enable next-generation AI products based on cutting edge research
Minimum Qualifications:
- Research concentration in areas such as object detection, segmentation, and tracking 2D and 3D key point / pose estimation and surface reconstruction, depth estimation, generative methods such as GANs, photorealistic rendering
- Experience with modern deep learning frameworks such as pytorch.
- Proven track record delivering computer vision systems used in production applications
Preferred Qualifications:
- 3+ years of industry experience in areas such as object detection, segmentation, and tracking 2D and 3D key point/pose estimation and surface reconstruction, depth estimation, generative methods, such as GANs, photorealistic rendering
- 3+ years of industry experience with deploying research ideas to production with neural networks (convolutional, recurrent, GANs) on large scale data
- Experience with optimizing model architectures and algorithms for CPU/GPU, mobile, and other types of specialized hardware
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.
$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.
