206 jobs for "Area Field Engineer"

Computer Vision/Machine Learning Engineer (Photography Intelligence)

At Apple

Posted on Oct 12

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Systems Specialist II, BMS

At Schneider Electric - Nashville

Posted on Oct 29

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Field Service Engineer

At GE Vernova - Portsmouth

Posted on Oct 30

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Safety Performance Integration Engineer

At General Motors - Warren

Posted on Oct 19

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Computer Vision/Machine Learning Engineer (Photography Intelligence)

At Apple

Posted on Oct 11

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Technical Support Intern - Secure Power (Apodaca, N.L.)

At Schneider Electric - Apodaca

Posted on Oct 15

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Electrical Tester

At Eaton - Torrance

Posted on Nov 1

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Technician

At Leidos - New Orleans

Posted on Nov 3

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Entry Level - Driving Simulation Researcher - Automated Driving-Enabled Vehicles

At General Motors - Warren

Posted on Oct 12

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Field Service Representative

At Eaton - Grapevine

Posted on Oct 31

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Technical Support Intern (Apodaca, N.L.)

At Schneider Electric - Apodaca

Posted on Oct 15

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Technician

At Leidos - Oklahoma City

Posted on Nov 3

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Services Specialist - Field Svc & Technical Advising

At GE Vernova - Buenos Aires

Posted on Oct 15

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Inside Sales Engineer

At Eaton - Franklin

Posted on Oct 28

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Technician

At Leidos - Dallas

Posted on Nov 3

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Manufacturing Engineer

At General Motors - Warren

Posted on Oct 12

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Maintenance Technician

At BD - Kulim

Posted on Nov 6

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DevOps / Platform Engineer - TS/SCI

At Esri - Vienna

Posted on Oct 15

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Field Service Specialist I

At Waters - Remote / Flexible

Posted on Nov 6

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Senior Manufacturing Engineer II [Electrical]

At Altria Group, Inc. - Richmond

Posted on Nov 2

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Apple

Computer Vision/Machine Learning Engineer (Photography Intelligence)

Posted 27 days ago

Apply on company site View full job

If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you.

Description
The photography intelligence algorithm engineer will work in China Vision Lab as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple's products. The role is responsible for designing and implementing machine learning systems that understand the scene as well as user intent before and during capturing photos or videos. It bridges visual perception, semantic understanding, and decision intelligence, enabling smart photography and videography experience. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.","responsibilities":"Build SOTA capture intelligence models in Visual Reasoning, Computational Photography, Camera Control, VLA, MLLM, etc
Optimize models for real-time on-device video processing
Collaborate with hardware team to integrate ML models into Apple devices
File patents and papers in related area

Preferred Qualifications
Publications in top-tier conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
Solid understanding and industry experiences on computational photography, visual perception or reasoning algorithms, MLLM, camera control pipeline, etc
Familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
Team oriented, result oriented, and self motivated

Minimum Qualifications
M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning
Rich experiences in video machine learning covering one of the topics: Computational Photography / Visual Reasoning Algorithms / VLM or MLLM / Camera Control
Proven prototyping skills and proficient in coding (C, C++, Python)
Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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