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Junior Computer Vision Jobs (NOW HIRING)

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

... and mentor junior engineers * Communicate technical findings, experimental results, and ... Demonstrated contributions to computer vision research, including peer-reviewed publications ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154.20K/yr

... and mentor junior engineers * Communicate technical findings, experimental results, and ... Demonstrated contributions to computer vision research, including peerreviewed publications ...

AllSTEM Connections

CAD Drafter

Hauppauge, NY · On-site

$68.60K/yr

Job Title: Junior CAD Drafter (Life Safety & Infrastructure) Role Overview We are seeking a ... vision, 401k and any statutory sick pay where required. We are committed to working with and ...

RimePro Inc

Cad Designer

New Brunswick, NJ · Hybrid

$120K - $140K/yr

Collaborate with multidisciplinary teams and assist in mentoring junior CAD staff * Contribute to ... Medical, dental, and vision insurance * 401(k) with company match * Paid vacation, sick time, and ...

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How much do junior computer vision jobs pay per year?

As of May 30, 2026, the average yearly pay for junior computer vision in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Computer Vision Engineer, and why are they important?

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What are some common challenges faced by Junior Computer Vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

What are Junior Computer Vision Engineers?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

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

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

More about Junior Computer Vision jobs
What cities are hiring for Junior Computer Vision jobs? Cities with the most Junior Computer Vision job openings:
What are the most commonly searched types of Computer Vision jobs? The most popular types of Computer Vision jobs are:
What states have the most Junior Computer Vision jobs? States with the most job openings for Junior Computer Vision jobs include:
What job categories do people searching Junior Computer Vision jobs look for? The top searched job categories for Junior Computer Vision jobs are:
Junior Computer Vision 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.
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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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