Senior AI - Computer Vision Engineer
OXY, Inc., Houston, TX, United States
Occidental (Oxy) is looking for an experienced and innovative
Senior AI - Computer Vision Engineer
to join the AI Center of Excellence (ACE) group based in
Houston, TX . The individual contributor role focuses on designing, developing, and deploying production‑grade computer vision solutions across Oxy, supporting a wide range of industrial, operational, and subsurface use cases.
ESSENTIAL JOB RESPONSIBILITIES
Design and select appropriate computer vision model architectures for classification, detection, segmentation, and object tracking
Work with classification architectures such as ResNet, VGG, EfficientNet, and MobileNet, and segmentation architectures such as UNet
Build, train, finetune, and optimize models using Ultralytics YOLO for object detection and segmentation (required)
Develop deep learning models using PyTorch and TensorFlow
Lead research and development (R&D) efforts to evaluate, prototype, and adopt state‑of‑the‑art computer vision models and techniques where they provide business or operational value
Stay current with advances in computer vision research, including new architectures, training methods, and foundation models, and translate relevant innovations into practical solutions
Leverage Hugging Face for pretrained backbones, model assets, and rapid experimentation
Apply VisionLanguage Models (VLMs) to multimodal computer vision workflows (e.g., OCR, imagetotext, promptdriven visual understanding)
Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools
Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural interpretation
Optimize computationally heavy training and inference workloads, including GPU utilization, memory efficiency, and throughput/latency tradeoffs
Work with GPU‑accelerated environments (CUDA‑enabled frameworks) and AWS‑based ML infrastructure, including Amazon SageMaker when appropriate
Collaborate closely with cross‑functional teams (AI platform, software engineering, domain experts) and mentor junior engineers
Communicate technical findings, experimental results, and recommendations clearly through presentations, demos, and written documentation
QUALIFICATIONS
PhD in Computer Science or a related technical field preferred, or equivalent industry experience building production computer vision systems
6+ years of hands‑on experience in computer vision or applied deep learning
Excellent Python skills (required), including writing clean, efficient, production‑ready code
Strong experience with PyTorch, TensorFlow, CNN‑based architectures, transformers, and VisionLanguage Models
Ultralytics YOLO experience required, including training and tuning on real world datasets
Practical familiarity with Hugging Face and Roboflow
Experience working with GPU‑accelerated workloads and CUDA‑enabled deep learning frameworks
Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances
Strong experience working in Linux environments
Excellent teamwork, communication, and presentation skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences
Demonstrated contributions to computer vision research, including peer‑reviewed publications, conference papers, or equivalent applied research output
Occidental does not offer sponsorship of employment‑based non‑immigrant visa petitions for this role.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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Senior AI - Computer Vision Engineer
to join the AI Center of Excellence (ACE) group based in
Houston, TX . The individual contributor role focuses on designing, developing, and deploying production‑grade computer vision solutions across Oxy, supporting a wide range of industrial, operational, and subsurface use cases.
ESSENTIAL JOB RESPONSIBILITIES
Design and select appropriate computer vision model architectures for classification, detection, segmentation, and object tracking
Work with classification architectures such as ResNet, VGG, EfficientNet, and MobileNet, and segmentation architectures such as UNet
Build, train, finetune, and optimize models using Ultralytics YOLO for object detection and segmentation (required)
Develop deep learning models using PyTorch and TensorFlow
Lead research and development (R&D) efforts to evaluate, prototype, and adopt state‑of‑the‑art computer vision models and techniques where they provide business or operational value
Stay current with advances in computer vision research, including new architectures, training methods, and foundation models, and translate relevant innovations into practical solutions
Leverage Hugging Face for pretrained backbones, model assets, and rapid experimentation
Apply VisionLanguage Models (VLMs) to multimodal computer vision workflows (e.g., OCR, imagetotext, promptdriven visual understanding)
Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools
Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural interpretation
Optimize computationally heavy training and inference workloads, including GPU utilization, memory efficiency, and throughput/latency tradeoffs
Work with GPU‑accelerated environments (CUDA‑enabled frameworks) and AWS‑based ML infrastructure, including Amazon SageMaker when appropriate
Collaborate closely with cross‑functional teams (AI platform, software engineering, domain experts) and mentor junior engineers
Communicate technical findings, experimental results, and recommendations clearly through presentations, demos, and written documentation
QUALIFICATIONS
PhD in Computer Science or a related technical field preferred, or equivalent industry experience building production computer vision systems
6+ years of hands‑on experience in computer vision or applied deep learning
Excellent Python skills (required), including writing clean, efficient, production‑ready code
Strong experience with PyTorch, TensorFlow, CNN‑based architectures, transformers, and VisionLanguage Models
Ultralytics YOLO experience required, including training and tuning on real world datasets
Practical familiarity with Hugging Face and Roboflow
Experience working with GPU‑accelerated workloads and CUDA‑enabled deep learning frameworks
Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances
Strong experience working in Linux environments
Excellent teamwork, communication, and presentation skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences
Demonstrated contributions to computer vision research, including peer‑reviewed publications, conference papers, or equivalent applied research output
Occidental does not offer sponsorship of employment‑based non‑immigrant visa petitions for this role.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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