Applied Research Scientist (Associate)

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Job Summary:

Oculus VR, a part of Meta, is seeking an exceptional Applied Research Scientist to join their Reality Labs Research team. The role involves driving technical direction and developing egocentric machine perception algorithms to advance contextual AI in a collaborative, multidisciplinary environment.

Responsibilities:

• Drive the team's goals and technical direction, tackling new and ambitious research challenges in always-on contextual AI

• Build and execute on a long-term vision and strategy for egocentric machine perception algorithms that can inform and provide long- and short-term situational context for AI-enabled devices

• Work with cross-functional teams to achieve impactful outcomes. This includes product managers, operations teams, data scientists, and product partner teams, and engineering teams

Qualifications:

Required:

• PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• 4+ years of research and/or work experience in machine learning, computer vision, and generative AI

• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops and conferences such as CVPR, ICCV, Neurips or similar

• Experience working autonomously, handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact

• Experience in Python and C/C++

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred:

• Experience in 2D/3D perception, including detection, segmentation and tracking.

• Experience with building contextual AI applications, e.g. LLM and VLM.

Company:

The Oculus team at Facebook lets people experience anything, anywhere, with anyone through world-class VR hardware and software. Founded in 2012, the company is headquartered in Menlo Park, California, USA, with a team of 501-1000 employees. The company is currently Late Stage.