Research Scientist, Computer Vision (PhD)

At Reality Labs, we’re developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment.

Research Scientist, Computer Vision (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:

• 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:

• 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.