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Intern Computer Vision Deep Learning Engineer Jobs in Dallas, TX

Omni Inclusive

Machine Learning

Dallas, TX

Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Set and Drive Vision:Define and champion the strategic vision for AI and foundation models across ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning ... Deep understanding of Medallion Architecture, including Bronze, Silver, and Gold data layer design ...

Diverse Lynx

AI ML Architect

Dallas, TX · Hybrid

Exposure to deep learning in NLP or Computer Vision * Experience with security and compliance in AI systems * Knowledge of DevOps and agile development practices * Familiarity with explainable AI and ...

Siri InfoSolutions Inc

Angular Developer

Irving, TX · On-site

$55 - $65/hr

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Dallas, TX

Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for intern computer vision deep learning engineer in Dallas, TX is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Dallas, TX? The most popular types of Computer Vision Deep Learning Engineer jobs in Dallas, TX are:
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Intern Computer Vision Deep Learning Engineer jobs near you

Director of Product : Computer Vision Solutions

VusionGroup SA

Coppell, TX • On-site

$216K - $226K/yr

Full-time

Posted 5 days ago

Job description

Company Description
Director of Product : Computer Vision Solutions
Are you ready to develop the future of retail?
As the world's leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable-and in doing so, enable more positive commerce.
VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team-agile thinkers, tech makers, and change agents-we can build the largest retail IoT platform in the world.
Job Description
We are seeking a Director of Product: Computer Vision Solutions to own and drive the development of the most strategic initiatives in our emerging technology portfolio.
In this role, you will be responsible for defining, delivering, and scaling computer vision-based solutions built for Fortune 50 retailers. These products combine cutting-edge optics, AI models, and custom hardware to solve real-world operational problems in dynamic, high-volume retail environments.
You will operate at the intersection of deep technical complexity and customer-facing execution, leading cross-functional teams across the full lifecycle, from early research and prototyping through pilot deployments and global rollout.
This role requires both technical credibility and end-to-end product leadership, with a strong bias toward execution in physical, real-world systems.
Main Activities and Responsibilities
Product Strategy & Vision
  • Own the long-term product vision and roadmap for computer vision solutions across the company's emerging technology portfolio.
  • Identify high-impact retail use cases where vision-based systems can deliver measurable operational and financial value.
  • Balance innovation with deployability, ensuring solutions are scalable, reliable, and production ready.
  • Define success metrics across accuracy, latency, robustness, cost, and customer ROI.

Product Development & Execution
  • Lead the end-to-end product lifecycle for complex CV systems, from concept and feasibility through pilot and scale.
  • Partner deeply with engineering teams across,
    • Mechanical & Industrial Design
    • Electrical Engineering
    • Embedded Systems & Firmware
    • Optics & Imaging
    • Cloud & Software Platforms
    • AI / Computer Vision & Data Science
  • Guide architectural decisions spanning hardware, edge compute, and cloud services.
  • Ensure tight integration between data collection, model training, validation, and real-world performance.

Field Deployment & Customer Engagement
  • Work closely with field deployment and product operations teams to ensure solutions perform reliably in live retail environments.
  • Engage directly with enterprise customers to validate requirements, gather feedback, and refine solutions.
  • Translate customer pain points into clear technical and product requirements.
  • Support pilots, proofs of technology, and early commercial deployments.

Cross-Functional Leadership
  • Serve as the connective tissue between R&D, engineering, operations, and go-to-market teams.
  • Clearly communicate product direction, tradeoffs, and progress to executive leadership.
  • Establish processes that enable fast iteration while maintaining quality and accountability.

Qualifications
What's Required
  • 8+ years of experience in product management or product leadership roles.
  • Strong technical background in one or more of the following,
    • Computer Vision
    • Optics / Imaging Systems
    • Embedded or Electrical Engineering
  • Proven experience delivering end-to-end physical products that combine hardware, software, and AI.
  • Demonstrated ability to work across highly multidisciplinary engineering teams.
  • Experience supporting real-world deployments of complex systems.
  • Excellent written and verbal communication skills.

Nice to Have Skills
  • Experience delivering products for large enterprise or Fortune 50 customers.
  • Prior work in retail environments (strongly preferred).
  • Familiarity with,
    • Camera systems and sensor calibration
    • Edge AI inference
    • Large-scale data collection and model validation
    • Deployment at scale in uncontrolled environments

Additional Information
All your information will be kept confidential according to EEO guidelines.

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