Computer Vision & AI Engineer - Lexington, KY

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions.

Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

Job Summary - Computer Vision (CV) and Artificial Intelligence (AI) Engineer Based onsite in Lexington, KYAs a Computer Vision (CV) and Artificial Intelligence (AI) Engineer you will design deep learning models and computer vision pipelines to identify, count, and track store merchandise. The role focuses on fine-tuning object detection models, processing high-resolution shelf images, and deploying edge AI solutions to accurately audit inventory in dynamic store environments.

Additionally, you will create new and enhance current AI product offerings as well as support Badger’s AI offerings in the field. You will consult on system architectures, assess technical requirements and competencies, and point out shortcomings to produce a high-quality  addition, in this role you will interface with outside vendors used in developing AI solutions, revise and deploy enhanced AI Robotics solutions, develop new testing methodologies to stress the capabilities of current products, and collaborate with ROS engineers to improve solution performance.

What can you expect to do?

Experience designing and train deep learning models for fine-grained classification of thousands of retail products.

Experience building end-to-end vision pipelines to handle stitch-stitching, image rectification, and glare removal from moving robot cameras.

Experience establishing semi-automated data annotation pipelines and synthetic data generation techniques.

Knowledge of computer vision and deep learning tools, with experience in 3D vision, point cloud processing, camera calibration, and sensor fusion (RGB-D, LiDAR, cameras, radar)

Experience with multi-class object detection, instance segmentation, and metric learning.

Familiarity with code development and AI development frameworks, using Linux in a real-time environment, and C++ and Python languages

Experience optimizing neural networks and data processing pipelines to minimize latency and CPU/GPU usage on embedded edge computing hardware is a plus.

What is the experience needed to be successful in this role?

Bachelors degree in Engineering or Computer Science required.
5+ years of related experience in software development, neural networks, robotics, and artificial intelligence.

Strong written and verbal communication skills, with the ability to present technical concepts to both technical and non-technical audiences.

Experience supporting AI systems in customer-facing or field environments is highly desirable.

Benefits Package with Jabil Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

Competitive Base Salary Annual Bonus Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
401K Match Employee Stock Purchase Plan Paid Time Off Tuition Reimbursement Life, AD&D, and Disability Insurance Commuter Benefits Employee Assistance Program Pet Insurance Adoption Assistance Annual Merit Increases Community Volunteer OpportunitiesBE AWARE OF FRAUD:
When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a  e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a  e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail.

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