Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative Senior AI – Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This 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 U‑Net
Build, train, fine‑tune, 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 (SOTA) 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 Vision‑Language Models (VLMs) to multimodal computer vision workflows (e.g., OCR, image‑to‑text, prompt‑driven 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
Master's Degree in Computer Science or a related technical field required.
6+ years of hands‑on experience in computer vision or applied deep learning. An equivalent combination of relevant education and experience will be considered.
Excellent Python skills (required), including writing clean, efficient, production‑ready code
Strong experience with PyTorch, TensorFlow, CNN‑based architectures, transformers, and Vision‑Language 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 nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
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.