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Computer Vision Engineer Jobs in Dallas, TX (NOW HIRING)

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a ... computer vision (CV) techniques. • Experience with continuous integration and continuous ...

Virtuous Tech Inc

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Stay updated with the latest advancements in LLMs, computer vision, or NLP technologies to drive continuous innovation. Required Skills & Technical Toolkit: * Programming Languages: Strong ...

Redolent, Inc.

IOS Developer

Dallas, TX · On-site

$51.25 - $70.50/hr

... . Seasoned Swift Engineer with current experience and exposure to the languange Algorithm ... CoreML, Computer Vision What are the top 3 skills needed/required? Swift/UIKit CoreML Image ...

SynergisticIT

Remote Software Engineer

Dallas, TX · On-site

Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ... Experience in programming language Java and understanding of the software development life cycle

Diverse Lynx

AI/ ML Engineer

Irving, TX

$120K - $125K/yr

AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Practical experience in computer vision tasks such as object detection, segmentation, tracking ...

SynergisticIT

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Java Full stack developers * Python/Java developers * Data analysts/Data scientists * Data ... Knowledge of statistics, Python, computer vision, data visualization tools * Excellent written and ...

IT America Inc

ML Engineer

Plano, TX · On-site

Background in NLP, computer vision, or other advanced AI techniques. * Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: * Strong programming skills in ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Micron

CAD Engineer

Richardson, TX · On-site

Our vision is to transform how the world uses information to enrich life for all . Micron ... As a CAD in CE Memory CAD Engineer at Micron, we work in a fast-paced and collaborative environment.

SynergisticIT

Software Engineer - Remote

Dallas, TX · On-site

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ...

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Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Dallas, TX

Computer Vision Engineer information

See Dallas, TX salary details

$48.2K

$120.7K

$136.6K

How much do computer vision engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for computer vision engineer in Dallas, TX is $120,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $130,600.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Dallas, TX? The most popular types of Computer Vision Engineer jobs in Dallas, TX are:
What are popular job titles related to Computer Vision Engineer jobs in Dallas, TX? For Computer Vision Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Dallas, TX look for? The top searched job categories for Computer Vision Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Computer Vision Engineer jobs? Cities near Dallas, TX with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Senior ML Engineer

Senior ML Engineer

Resolve Tech Solutions

Addison, TX • On-site

$101K - $138K/yr

Full-time

Posted 10 days ago

Job description

Responsibilities:
• Develop machine learning models and algorithms to address business needs.
• Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions.
• Clean, preprocess, and analyze large datasets to extract meaningful insights.
• Deploy machine learning models into production environments and monitor their performance.
• Continuously improve model accuracy and performance through experimentation and optimization.
• Stay up-to-date with the latest advancements in machine learning and related technologies.
• Communicate findings and results to stakeholders in a clear and concise manner.
Requirements:
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
• 2~5 years of experience in machine learning, data science, or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform.
• GCP Professional Machine Learning Engineer certification is required.
• Experience with version control systems such as Git.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred Qualifications:
• Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
• Experience with distributed computing frameworks such as Apache Spark.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Experience with natural language processing (NLP) or computer vision (CV) techniques.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines.
• Contributions to open-source projects or participation in relevant communities.

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