Staff Computer Vision Engineer
AI summary of the role
Lead the design, development, and deployment of advanced computer vision and edge AI solutions across Kraft Heinz manufacturing and supply chain.
What you’ll do
- Design, train, evaluate, and deploy computer vision models for manufacturing applications
- Develop solutions for object detection, classification, segmentation, OCR, anomaly detection, tracking, and multimodal AI
- Design complete machine vision systems including cameras, sensors, lenses, illumination, triggers, industrial networking, and edge computing
- Deploy ML/CV workloads to edge platforms, building and optimizing Docker images and containerized workflows
What you’ll bring
- Master's or PhD in CS, CE, EE, Data Science, Applied Math, Robotics, or related field, or equivalent experience
- Deep expertise in computer vision, deep learning, and machine learning methods
- Advanced proficiency in Python and production-quality solution development
- Strong Linux administration experience and hands-on Docker/container deployment
Technologies
Computer Vision · Deep Learning · Python · Docker · Linux · NVIDIA Jetson · JetPack · Edge Computing · Azure · AWS · GCP · OCR
About Kraft Heinz
Global packaged-food maker behind Heinz, Kraft, Oscar Mayer, Philadelphia, Lunchables and Kraft Mac & Cheese, selling iconic grocery brands across retail and away-from-home channels worldwide.
Public · 5000+ people
Source and classification
Deployment team leadership · Evidence for this classification:
Job Description *** 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
More from the job description
Job Description *** 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 [... source excerpt omitted ...] al AI. Define model performance measures and business-focused success criteria appropriate for plant operations. Design robust data, experiment, and validation methodologies for production environments. Design complete machine vision solutions incorporating cameras, sensors, lenses, illumination, triggers, industrial networking, and edge computing. Select imaging hardware based on field of view, spatial resolution, working distance, motion, lighting, environmental constraints, and production requirements. Deploy machine learning and computer vision workloads to edge computing platforms. Build, optimize, and maintain Docker images and containerized deployment workflows. Deplo [... source excerpt omitted ...] tional or business impact. I have deep expertise in computer vision, deep learning, and machine learning methods. I have advanced proficiency in Python and experience developing production-quality technical solutions. I have strong Linux development and administration experience, including command-line workflows, SSH, SCP, remote troubleshooting, and system configuration. I have hands-on experience building Docker images, managing containers, and deploying containerized applications to edge or production environments. I have experience deploying and supporting AI/ML solutions in production, including cloud environments such as Azure, AWS, or GCP. I have experience integrating
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