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Intern Computer Vision Deep Learning Engineer Jobs in Texas

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

We are looking for an experienced and innovative Senior AI - Computer Vision Engineer to join the ... Develop deep learning models using PyTorch and TensorFlow * Lead research and development (R&D) ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Expertise in at least one modern machine learning domain, such as computer vision, large language ...

Avride

Machine Learning Engineer

Austin, TX

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Expertise in at least one modern machine learning domain, such as computer vision, large language ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100.60K - $118.60K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... Solid foundation in modern deep learning architectures for vision (CNNs, transformers, detection ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Intern Computer Vision Deep Learning Engineer information

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Texas? The most popular types of Computer Vision Deep Learning Engineer jobs in Texas are:
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What cities in Texas are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Texas with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Senior AI - Computer Vision Engineer

Senior AI - Computer Vision Engineer

Oxy

Houston, TX • On-site

$99.80K - $137K/yr

Full-time

Posted 6 days ago

Job description

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.
Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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