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Mobile International Computer Engineer information
What is the difference between Mobile International Computer Engineer vs Mobile Network Engineer?
| Aspect | Mobile International Computer Engineer | Mobile Network Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Engineering, certifications like CCNA, CompTIA Network+ | Bachelor's in Telecommunications or Computer Networking, certifications like CCNA, Cisco certifications |
| Work Environment | Designing, developing, and testing mobile computing systems, software, and hardware | Maintaining, configuring, and troubleshooting mobile network infrastructure |
| Employer & Industry Usage | Tech companies, mobile device manufacturers, software firms | Telecom providers, network service companies, infrastructure firms |
Mobile International Computer Engineers focus on developing and optimizing mobile computing systems and software, while Mobile Network Engineers specialize in maintaining and troubleshooting mobile network infrastructure. Both roles require similar technical certifications and often work within the telecommunications and tech industries, but their core responsibilities differ significantly.
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Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 245 rated software companies
Job description
Computer Vision Engineer Responsibilities:
- Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
- Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production
- Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product
- Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics
- Participate in cutting-edge research in computer vision that can be applied to AR/VR product development
- Define and scope projects for other engineers, providing technical direction and success criteria
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 7+ years of industry experience in machine learning, computer vision, or related fields
- Experience shipping ML models to production, including the full ML production cycle from development to deployment
- Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation
Preferred Qualifications:
- Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (SLAM) and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
- Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
- Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
- PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
- Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)
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.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US