Applied Research Scientist - Reality Labs Research
About The Position
At Reality Labs Research (RL Research), we have built a world class team of researchers and engineers, working together across a broad range of disciplines from machine perception and artificial intelligence to operating systems and hardware. The Surreal team at RL Research is seeking an exceptional researcher that can accelerate our mission to build a new class of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground to understand the physical world from egocentric devices. The scientist in this role will be self-driven, creative and have experience with coordinating across a multidisciplinary engineering team to bring a prototype from concept to realization. This person will take initiative and should be willing to execute consistently in an agile, fast-paced environment.
Requirements
- 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
Nice To Haves
- Experience in 2D/3D perception, including detection, segmentation and tracking.
- Experience with building contextual AI applications, e.g. LLM and VLM.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Broadcasting and Content Providers
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
