Research Scientist Intern, Machine Perception for

vor 3 Monaten

Zürich ZH, Schweiz Meta Vollzeit

**Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Responsibilities**:

- Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping
- Design of user studies and experiments
- Collaboration with other researchers across various disciplines
- Communication of research agenda, progress, and results

**Minimum Qualifications**:

- Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
- Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action/emotion recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction
- Excellent communication skills
- High levels of creativity and problem solving capabilities
- Experience with C++ or Python
- Experience with ML frameworks such as PyTorch, Tensorflow, etc.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

**Preferred Qualifications**:

- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc.
- Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experiences working on high volume multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systems
- Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
- Experience with Machine Learning for Visual Synthesis
- Intent to return to degree program after the completion of the internship/co-op
- Experience working and communicating cross functionally in a team environment

**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.

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.

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