Applied Research Scientist - Reality Labs Research

Oculus VR; Redmond (WA); On-site; USD 177,000 - 251,000; Full time

Job summary

Join a forward-thinking company as an Applied Research Scientist, where you will drive innovative research in spatial and contextualized AI. Collaborate with a talented team to develop machine perception algorithms that inform AI-enabled devices. This role offers the chance to shape the future of technology in an agile environment, making a significant impact on the next computing paradigm. If you are passionate about pushing the boundaries of AI and enjoy working in a dynamic team, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in machine learning and computer vision.
• Proven track record with grants, patents, and publications.

Responsibilities

• Drive technical direction and tackle ambitious research challenges.
• Work with cross-functional teams to achieve impactful outcomes.

Skills

Machine Learning

Computer Vision

Generative AI

Python

C/C++

Education

PhD in Computer Science

Bachelor's in Computer Science

Job description

Applied Research Scientist - Reality Labs Research

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.

Applied Research Scientist - Reality Labs Research 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.

Minimum Qualifications

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 Qualifications

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

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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$177,000/year to $251,000/year + bonus + equity + benefits

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.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .