Staff Computer Vision Engineer

heinz; United States; Hybrid; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) matching

Discretionary bonus

Job summary

Kraft Heinz is hiring a Staff Computer Vision Engineer to lead production-grade CV/edge AI solutions across manufacturing and supply chain. You will collaborate with engineering, IT, operations, cloud, and analytics teams to deliver scalable, measurable business value.

The role requires expertise in CV/ML, Python, Linux, and containers, with hybrid work at the Chicago headquarters and travel to North America sites. A strong academic background plus leadership experience are essential.

Qualifications

• Master's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Applied Mathematics, Robotics, or related field (or equivalent experience).
• Years of relevant professional/research experience in computer vision, ML, machine vision, robotics, or related disciplines.
• Demonstrated experience leading technically complex projects with business impact.
• Deep expertise in computer vision, deep learning, and ML methods.
• Advanced proficiency in Python and production-quality solution development.
• Strong Linux development and admin experience; command-line, SSH, remote troubleshooting, and config.
• Hands-on experience building Docker images, containers, and deployments to edge/production.
• Experience deploying AI/ML in production, including Azure/AWS/GCP.

Responsibilities

• Lead design, development, deployment, and scale-up of computer vision/edge AI in manufacturing and supply chain.
• Solve complex industrial vision challenges across hardware, software, and cloud environments.
• Mentor technical professionals and influence architecture across multiple teams.
• Define performance measures and success criteria for plant operations.
• Design end-to-end machine vision solutions with cameras, sensors, and edge computing.
• Deploy ML/vision workloads to edge platforms and optimize container workflows.

Skills

Python

Computer vision

Deep learning

Linux

Docker

Cloud platforms

Project leadership

Communication

Education

Master's degree or PhD in a related technical field

Tools

Docker

JetPack

Azure/AWS/GCP

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 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.
• 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.
• Deploy and support applications on Linux-based systems and NVIDIA Jetson platforms using the JetPack ecosystem.

Requirements / Qualifications

• I have a Master's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Applied Mathematics, Robotics, or related technical field, or equivalent research and professional experience.
• I have years of relevant professional or applied research experience in computer vision, machine learning, machine vision, robotics, industrial automation, or related disciplines.
• I have demonstrated experience leading technically complex projects with meaningful operational 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 hardware, networking, IoT, and software components into end-to-end systems.
• I have the ability to communicate clearly with technical and non-technical stakeholders and operate effectively when requirements are ambiguous.

Thank you for your interest. Please note: This job posting is just a preview of the full scope of the position. A comprehensive job description will be shared.

We hope to find you a seat at our table!

Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz' strategy and values.

Compensation & Benefits

New Hire Base Salary Range:
$120,800.00 - $151,000.00

Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family's needs. Coverage for benef