Sr. Computer Vision Engineer jobs in United States
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PepsiCo · 1 week ago

Sr. Computer Vision Engineer

PepsiCo is seeking a Sr. Computer Vision Engineer to contribute to AI projects with a focus on computer vision and Natural Language Processing. The role involves working with an interdisciplinary team to design and implement AI solutions that enhance business decision-making through data and analytics.

Brand MarketingFast-Moving Consumer GoodsFood and BeverageManufacturing
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H1B Sponsor Likelynote

Responsibilities

Active contributor to code development in projects and services related to computer vision, object detection, image segmentation, video analytics, machine learning, mathematical modeling, AI and ML/AI Operations, and deep learning
Design and deploy CV models for real-world applications including retail execution monitoring, manufacturing quality control, supply chain optimization, and visual search
Active contributor in innovation activities, exploring the boundaries of technology to create AI solutions with the ability to continually prove accuracy and with a design goal of productization/reusability
Create documentation for learnings and knowledge transfer
Create reusable packages or libraries
Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption
Partner with other data scientists working on industrialization
Occasionally, coordinate work activities with business teams, other services and as required
Communicate with data scientists and other S&T stakeholders in the process of service design, training and knowledge transfer
Support large-scale experimentation and build analytical models
Set KPIs and metrics to evaluate analytics solution given a particular use case
Refine requirements into modelling problems
Influence product teams through data-based recommendations
Research in state-of-the-art methodologies

Qualification

Computer VisionDeep LearningPythonMachine LearningCloud ComputingData Science LibrariesComputer Vision LibrariesModel OptimizationCI/CD PipelinesSoft Skills

Required

Master's Degree in Computer Science, Data Science, Mathematics, Statistics, Computer Vision, or a related quantitative field
Minimum: 4+ years of hands-on experience building, deploying, and evaluating computer vision models in a research or industry setting, with a strong focus on object detection, segmentation, or image classification applications
Computer Vision models and architectures
Experience with CNNs (ResNet, EfficientNet, MobileNet), Vision Transformers (ViT, Swin), object detection models (YOLO, Faster R-CNN, DETR), and segmentation models (U-Net, Mask R-CNN, SAM)
Use cases: object detection, image classification, semantic/instance segmentation, visual quality inspection, OCR, video understanding, etc
Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or similar frameworks
8+ years working in Python, Java or other programming languages
Python: Essential for data manipulation, model development, and integration. Data science libraries: NumPy, Pandas, Scikit-learn, Matplotlib
Computer Vision libraries: OpenCV, Pillow, Albumentations. Deep learning: PyTorch Vision, TorchVision, timm. Detection frameworks: Ultralytics, MMDetection, Detectron2
Experience with model optimization and deployment: ONNX, TensorRT, quantization, edge deployment
Data annotation tools: CVAT, Label Studio, or similar
Cloud Computing: Experience with platforms like AWS, Azure, and GCP
Azure DevOps: Knowledge of CI/CD pipelines and software development practices using Azure DevOps
Track record of Developing AI products that have generated business value, and impact across multiple Industries

Preferred

PhD in Computer Science, Machine Learning, Computer Vision, or related fields, with specialization in deep learning for visual recognition
Ideal: 6+ years of experience, with demonstrable success in developing computer vision solutions, and delivering tangible business value
Experience with multimodal AI (vision-language models like CLIP, BLIP, GPT-4V) is a plus
Experience with Responsible AI and FAIR data is a plus
Experience with NLP and generative AI for language tasks is a plus

Benefits

Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.
Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Company

PepsiCo is a food and beverage company.

H1B Sponsorship

PepsiCo has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (50)
2024 (52)
2023 (62)
2022 (61)
2021 (49)
2020 (34)

Funding

Current Stage
Public Company
Total Funding
$4B
Key Investors
Elliott Management Corp.National Safety Council
2025-09-02Post Ipo Equity· $4B
2024-06-13Grant· $0.02M
2017-12-20IPO

Leadership Team

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Alex Carreteiro
CEO PepsiCo Brazil & South Cone (Chile, Arg, Uru, Par) Foods
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Mohamed Shelbaya
CEO PepsiCo Middle East & Africa
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Company data provided by crunchbase