Kraft Heinz

Staff Computer Vision Engineer

Chicago, IL, US$120,800-$151,000Posted 4 days ago

Job Description

Job Description

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*** This role is hybrid in our Chicago headquarters and requires the ability to travel to manufacturing sites across North America *** ------------------------------------------------------------------------------------------------------------------------------------------------

Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus.

*Benefits begin immediately upon hire for salaried employees.

Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels!

Staff Computer Vision Engineer at a glance...

You will lead the design, development, deployment, and scale-up of advanced computer vision and edge AI solutions across manufacturing and supply chain environments. You will be a subject matter expert responsible for solving complex industrial vision challenges spanning hardware, software, machine learning, networking, operational technology, and cloud environments. You will partner with engineering, manufacturing, quality, operations, IT, cloud, and analytics teams to develop production-grade solutions that deliver measurable business value, while leading technical initiatives, influencing architecture, and mentoring technical professionals without direct people-management responsibility

What's on the menu?

  • Design, train, evaluate, and deploy computer vision models for real-world manufacturing applications.
  • Develop solutions involving object detection, classification, segmentation, OCR, anomaly detection, tracking, and multimodal AI.
  • Defin

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