Applied Research Scientist - Reality Labs Research
Job Description
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.
Locations
- Sunnyvale, CA, US
- Redmond, WA, US
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 320,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- C/C++intermediate
- Machine Learningadvanced
- Computer Visionadvanced
- Generative AIadvanced
Required Qualifications
- PhD in Computer Science, Computer Engineering, or relevant technical field (degree)
- 4+ years of research and/or work experience in machine learning, computer vision, and generative AI (experience)
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field (degree)
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, or first-authored publications at workshops and conferences such as CVPR, ICCV, Neurips or similar (experience)
- Experience working autonomously, handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact (experience)
- Experience in 2D/3D perception, including detection, segmentation and tracking (experience)
- Experience with building contextual AI applications, e.g. LLM and VLM (experience)
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
Benefits
- bonus: Bonus included in compensation
- equity: Equity included in compensation
- general: Additional benefits offered by Meta (details available on Meta's benefits page)
