Staff Computer Vision Engineer

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.

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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

Whats 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.

• Develop production-grade software using Python and relevant computer vision and machine learning frameworks such as PyTorch OpenCV Pylon and GenICam.

Recipe for Success - apply now if this sounds like you!

• I have a Masters 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.

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.

New Hire Base Salary Range:

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 candidates 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 savingfor the future we offer plans tailored to meet you and your familys needs. Coveragefor benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

Wellbeing: We offer events resources and learning opportunities that inspire aphysical social emotional and financial well-being lifestyle for our employees and their families.

Youll be able to participate in a variety of benefits and wellbeing programs that may vary by role country region union status and other employment status factors for example:

• Physical - Medical Prescription Drug Dental Vision Screenings/Assessments

• Social - Paid Time Off Company Holidays Leave of Absence Flexible Work Arrangements Recognition Training

• Emotional Employee Assistance Program Wellbeing Programs Family Support Programs

• Financial 401kLife Accidental Death & Dismemberment Disability

Location(s)

Kraft Heinz is an Equal Opportunity Employer Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.In order to ensure reasonable accommodation for protected individuals applicants that require accommodation in the job application process may contact for assistance.