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Computer Vision Engineer Jobs in Miami, FL (NOW HIRING)

Detect

AI Engineer - Computer Vision

Miami, FL

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI ...

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI ...

Safari AI

Head of Partnerships

Miami, FL · On-site

The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at ... The company is headquartered in Miami with the Engineering team based in Vancouver with some ...

Neocis, Inc.

Software Engineer - Application

Miami, FL · On-site

The Role: The Software Engineer - Application is responsible for creating our surgical planning ... Experience with computer vision or image processing preferred * Experience with machine learning ...

Detect

iOS Developer

Miami, FL · Remote

$80K - $100K/yr

As an iOS Developer, you'll play a key role in building high-performance mobile applications that ... Work on integrating AI-driven computer vision models into mobile applications, enabling real-time ...

Safari AI

Sales Development Representative

Miami, FL · On-site

The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at ... The company is headquartered in Miami with the Engineering team based in Vancouver with some ...

Detect

iOS Developer

Miami, FL · On-site

$49.50 - $68.25/hr

As an iOS Developer, you'll play a key role in building high-performance mobile applications that ... Work on integrating AI-driven computer vision models into mobile applications, enabling real-time ...

Safari AI

GTM and Business Operations Lead

Miami, FL · On-site

The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at ... The company is headquartered in Miami with the Engineering team based in Vancouver with some ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66.50K - $89.90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Deloitte

AI Data Engineer - Manager

Miami, FL

$109.50K - $131.50K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement

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How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Miami, FL is $116,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 per year, depending on experience, location, and employer.

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 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 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.

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.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Miami, FL? The most popular types of Computer Vision Engineer jobs in Miami, FL are:
What are popular job titles related to Computer Vision Engineer jobs in Miami, FL? For Computer Vision Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Miami, FL look for? The top searched job categories for Computer Vision Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Computer Vision Engineer jobs? Cities near Miami, FL with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
AI Engineer - Computer Vision

AI Engineer - Computer Vision

Detect

Miami, FL

Other

Posted 28 days ago

Job description

Why Join Us?
  • Growth: With a strong emphasis on personal development, we encourage continuous learning and tackling challenging projects that contribute to your professional growth.
  • Impact: Play a pivotal role in shaping the future of our technology and products, directly influencing the success of our solutions.
  • Culture of experimentation: We live by the mantra "fail fast, fail often". By encouraging experimentation and learning from each failure, we pave the way for significant breakthroughs. We promote an environment where every team member is empowered to test new ideas, challenge the status quo and contribute to a culture of continuous innovation.
What you will do:

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI-driven inspection platform. You'll work alongside experienced engineers to tackle real-world problems in object detection, semantic segmentation, and image understanding. Here's a closer look at your responsibilities:

  • Experiment with and prototype computer vision models: Design, train, and evaluate deep learning models for object detection, segmentation and classification on real-world infrastructure imagery.
  • Support MLOps and data pipelines: Collaborate with the team to improve data preprocessing pipelines, model evaluation tools, and ML lifecycle tracking systems using tools like MLflow.
  • Perform error analysis and quality improvements: Analyze failure modes in models and datasets, and contribute to strategies for improving performance across edge cases.
Growth and Exploration Opportunities:
  • Advanced CV architectures: Explore and test state-of-the-art vision architectures including transformer-based vision models (e.g. ViTs, DINOv2, SAM3).
  • Production AI exposure: Gain hands-on experience in taking AI models from experimentation to deployment, including learning about dataset versioning, reproducibility, and model performance monitoring in production-like environments.
Requirements:
  • Experience building and deploying machine learning or computer vision solutions in real-world environments (production systems, customer-facing products, or internal platforms). Demonstrated experience through internships, research, or substantial projects is acceptable.
  • Strong foundation in computer vision and deep learning, with hands-on experience in areas such as object detection, semantic segmentation, or image classification.
  • Proficiency in Python and practical experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience working with end-to-end ML workflows, including data preprocessing, model training, evaluation, and iteration.
  • Comfortable working in ambiguous problem spaces and translating real-world constraints into technical solutions.
  • Strong communication skills and the ability to collaborate effectively with engineers, product, and operational teams
Nice to Have:
  • Experience deploying or supporting ML models in production (e.g., APIs, batch inference pipelines, edge deployment, or cloud-based systems).
  • Hands-on experience with MLOps tooling such as MLflow, Weights & Biases, DVC, or similar experiment tracking and lifecycle tools.
  • Familiarity with cloud platforms (GCP, AWS, or Azure) and containerized workflows (Docker).
  • Experience with large-scale or high-resolution imagery, including aerial, satellite, or infrastructure inspection data.
  • Experience improving model performance through data-centric approaches (dataset curation, labeling strategies, augmentation).
Details:
  • Location: Miami (In Office)
  • Salary range: 90k-120k USD
  • Note: This role is open to both junior and senior candidates. Scope, ownership and compensation will be calibrated based on experience.

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