Job Information
Meta Research Scientist, Computer Vision for Generative AI (PhD) in New York, New York
Summary:
At GenAI, we’re developing the cutting edge AI technologies that will define the future of content creation, productivity and social media. We are looking for a creative, skilled and motivated Research Scientist to join our media foundation modeling team in advancing the state-of-the-art of image and video foundation models. You will work with research scientists, software engineers and data scientists to design technical solutions in a fast-paced multidisciplinary environment.
Required Skills:
Research Scientist, Computer Vision for Generative AI (PhD) Responsibilities:
Work with researchers to develop input architectures that combine vision and language.
Design and prototype interactive experiences and evaluate them through user research.
Design and prototype data collection systems to accelerate machine learning.
Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
Minimum Qualifications:
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Currently has, or is in the process of obtaining, a PhD degree in Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
Experience working with PyTorch or TensorFlow.
Experience with sequence modeling, domain adaptation or representation disentanglement.
Experience designing data collection protocols and quality control.
Technical knowledge across topics including machine learning, optimization, Bayesian statistics and state estimation.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
Preferred Qualifications:
Research experience in end-to-end speech recognition or real-time statistical text decoding.
Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.
Experience with joint hardware-software development and associated rapid prototyping.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.
Experience working and communicating cross-functionally in a team environment.
Public Compensation:
$117,000/year to $173,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.