Oculus VR

About the Company

The Oculus team at Facebook lets people experience anything, anywhere, with anyone through world-class VR hardware and software. With global departments dedicated to VR research, computer vision, haptics, social interaction, and more, Oculus is committed to driving the state of the art forward through relentless innovation.

The Oculus suite of hardware currently includes: Rift, our high-end PC VR headset; Touch controllers, to bring your hands into virtual reality; and Gear VR, to bring the magic with you wherever you are—all powered by the Oculus Platform.

Since being founded in 2012—and furthered through our acquisition by Facebook in 2014—Oculus has grown from the idea of a single headset to multiple headsets, a powerful platform, and a thriving ecosystem. Our developer community has built nearly a thousand games, apps, and experiences, all available on the Oculus Store.

As we continue to grow the possibilities of the technology, we’re partnering with communities and nonprofits from around the world to drive social change and foster a positive impact. VR’s potential to connect the world is immense—and we’re just getting started.

For more information, visit: http://oculus.com.

Listed Jobs

Company Name

Oculus VR

Job Title

Research Engineer - Machine Learning for Behavioral AI

Job Description

**Job title**: Research Engineer – Machine Learning for Behavioral AI **Role Summary** Develop and evaluate state‑of‑the‑art machine learning models that infer human attention, cognition and emotion from multimodal egocentric data. Build end‑to‑end wearable AI validation pipelines, optimize models for low‑latency embedded platforms, and collaborate with research scientists and system engineers to translate findings into product‑ready solutions. **Expectations** - Produce high‑quality research experiments, code, and reproducible results. - Publish findings and contribute to open‑source efforts. - Maintain rigorous model accuracy, speed, and compute efficiency trade‑offs. - Mentor junior members and drive cross‑functional collaboration. **Key Responsibilities** - Design experiments, write reusable Python code, run evaluations, and organize results. - Develop, maintain, and improve complex ML systems for speed, accuracy, and compute cost. - Build generative‑AI‑driven validation platforms for wearable AI experiences. - Optimize models for constrained compute platforms (latency, power). - Identify long‑term research goals, set intermediate milestones, and align work with product needs. - Mentor teammates and champion healthy collaboration across teams. **Required Skills** - Proficient in Python and PyTorch (or equivalent ML framework). - Strong background in ML computer vision and multimodal signal processing. - Experience with model efficiency (speed, compute, memory) optimization. - Familiarity with C++ and non‑ML computer vision libraries (e.g., OpenCV). - Ability to design and implement reproducible experiments. - Excellent written and oral communication for publication and collaboration. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Computer Engineering, or related technical field **plus** • 5+ years professional experience, **or** • PhD in Computer Science (or related field) with 2+ years experience. - Equivalent practical experience that demonstrates mastery of the above skill set.

Redmond, United states

On site

Mid level

08-12-2025