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Research Scientist, Computer Vision for Generative AI (PhD)
MetaMenlo Park, United Statesfull_timeVerifiedPosted 10 Jul 2024
💰 $173,000/yr($117,000/yr – $173,000/yr)
About the role
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.Research Scientist, Computer Vision for Generative AI (PhD) Responsibilities
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.
- 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.).
- 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.
- 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.
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.
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