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

Safari AI

Head of Partnerships

Miami, FL · On-site +1

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 co-located in Vancouver. About You ...

FitMatch

Technical Product Manager

Fort Lauderdale, FL · On-site +1

$159K - $183K/yr

Translate ambiguous problems - domain-specific workflows, computer vision capabilities, data pipelines - into clear specs, requirements, and prioritized backlogs * Partner directly with engineering ...

TRUCKING PEOPLE

Autonomous Vehicle Tester

Miami, FL · On-site

$25 - $27/hr

You'll also assist and interact with multiple teams across the company, from computer vision, infrastructure, and sound design to strategy, vehicle engineering, and ride operations. We're looking for ...

TRUCKING PEOPLE

Autonomous Vehicle Tester

Miami, FL · On-site

$25 - $27/hr

You'll also assist and interact with multiple teams across the company, from computer vision, infrastructure, and sound design to strategy, vehicle engineering, and ride operations. We're looking for ...

CES Consultants, Inc.

CAD Designer (Engineering)

Miami, FL · On-site

$55K - $75K/yr

... the engineer of record, and the CAD Manager. Responsibilities: * Create high-quality detailed ... The benefit healthcare coverage package includes medical, dental, and vision, 401k with company ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Miami, FL

Computer Vision Engineer information

See Miami, FL salary details

$45.9K

$115.1K

$130.3K

How much do computer vision engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer vision engineer in Miami, FL is $115,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $124,600.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 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 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:

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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
Infographic showing various Computer Vision Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $115,112 per year, or $55.3 per hour.

Lead iOS Engineer: Clinical Platform

FitMatch

Fort Lauderdale, FL • On-site, Remote

$133K/yr

Full-time

Posted 28 days ago

Job description

About Fit: Match
Fit:Match develops Body AI technology spanning healthcare, sports, and retail. Our products, including the consumer QuadraScan applications and our clinical platform, apply body scanning and movement analysis to deliver precise, actionable insight. Our clinical work is conducted in partnership with a world-renowned orthopedic institution, and we hold ourselves to the standard that partnership demands.
Role Overview
Fit:Match is seeking a Lead iOS Engineer to serve as the founding technical hire on a clinical team. This individual will own the architecture of the iOS clinical application, partner with our ML/CV team on on-device pose and movement analysis, and establish the engineering standards against which the broader team will build. The role reports directly to the Head of Mobile Development. This is a technical senior individual contributor role.
This is a contract-to-hire position.
Responsibilities
  • Own the end-to-end technical architecture of the iOS clinical application
  • Build the data-rich member experience at the heart of the platform: structured workout delivery and logging (prescribed versus completed), longitudinal progress visualization, assessment results, and educational content
  • Implement HealthKit and Apple Watch integration and present wearable-derived data - activity, sleep, recovery, heart-rate variability- in a member-friendly, longitudinal format
  • Partner with backend and web engineers to define the API contracts and shared data models underpinning training programs, assessments, and wearable data
  • Develop real-time pose estimation and movement-analysis capabilities using VNDetectHumanBodyPoseRequest, AVFoundation, and CoreML, advancing an existing live prototype to clinical-grade quality
  • Partner directly with ML/CV engineers on the on-device implementation of custom movement models
  • Define iOS engineering standards for the clinical team, including code organization, testing strategy, and release processes, building on the conventions of our existing mobile team where applicable
  • Mentor and review the work of a junior iOS engineer who will join the team shortly after this hire
  • Collaborate with our existing iOS team of three engineers, who ship our consumer QuadraScan applications, with the authority to evolve shared CI/CD and release infrastructure to meet clinical-grade requirements
Qualifications
  • A minimum of 7 years of professional experience shipping iOS applications in Swift, including at least one production application making substantive use of AVFoundation, Vision, ARKit, or CoreML (for example, real-time camera pipelines, on-device machine learning, or computer vision)
  • A well-developed perspective on iOS architecture, including composition, testability, and modularization, together with the judgment to apply these principles at a level appropriate to the team's maturity
  • Demonstrated experience serving as the senior iOS voice on a team, providing code review, mentorship, and technical direction
  • Experience working in a HIPAA-regulated environment, or the professional maturity to ramp into one quickly
Preferred Qualifications
  • Experience with healthcare, telehealth, or clinical software, particularly FDA-adjacent or EHR-adjacent work
  • Background in computer vision, biomechanics, motion capture, or sports science
  • Experience integrating with HealthKit and Apple Watch
  • A track record of shipping products that leverage on-device machine learning for safety-critical or measurement-critical use cases

How We Work
  • AI-assisted engineering is standard practice at Fit: Match. Tools such as Claude Code are an integrated part of our development workflow, and we expect engineers to use them thoughtfully and effectively.

Department Engineering Role Lead iOS Engineer Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote

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