计算机视觉工程师实习生，先进制造

Meta（Meta Platforms）岗位：Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs) Responsibilities

Build and train models that detect anomalies and defects in machined and printed parts from camera images.

Develop methods that match captured images or 3D scans of physical parts to their source CAD models, to identify parts and compare what was built against what was designed.

Prototype camera monitoring for CNC machines and 3D printers that catches setup errors, tool or fixture collisions and failing prints early enough to stop the machine.

Deploy and maintain networked camera systems across the lab, covering capture, storage and the pipeline from camera to model.

Build tools that generate and augment training data, including synthetic images rendered from CAD and automated capture rigs.

Measure how the models perform on real lab data and share the results with the team.

Currently has, or is in the process of obtaining, a Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics or a related field

Computer vision or deep learning experience from coursework, research or projects (detection, segmentation, anomaly detection, pose estimation)

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

3D vision experience: point clouds, depth cameras, multi-view geometry, or aligning scans to CAD models

Experience deploying cameras on a network (IP cameras, RTSP streams, edge devices such as NVIDIA Jetson) or running models in real time

Experience generating synthetic training data (Blender, rendering from CAD, domain randomization)

Familiarity with CAD tools (Fusion 360, SolidWorks, NX) and 3D file formats such as STEP and STL

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.

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

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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You may view our Equal Employment Opportunity notice here.

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Currently has, or is in the process of obtaining, a Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics or a related field.