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Remote Video Streaming Engineer Jobs in Florida (NOW HIRING)

Lead Elixir Platform Engineer

Miami, FL ยท Remote

$170K - $250K/yr

Manage streaming pipelines with Kafka to process high-throughput event data from blockchains and ... Remote-first, async-friendly culture with flexible hours * The chance to work on the cutting edge ...

Senior Data Engineer

Tallahassee, FL ยท Remote

$100K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion ...

Senior Data Engineer

Tallahassee, FL ยท Remote

$100K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion ...

AV Systems Programmer

Fort Myers, FL ยท On-site +1

$63K - $84K/yr

Remote available for the right candidate.* Arthrex, Inc. is a global medical device company and a ... This role involves architecture design and programming audio-video (AV) control platforms ...

Rumble, RUM Group's video business and the original tenant of Quake AI, provides creators and ... Experience with BGP, routing policy, traffic engineering, and mitigation techniques such as remote ...

Rumble, RUM Group's video business and the original tenant of Quake AI, provides creators and ... Experience with BGP, routing policy, traffic engineering, and mitigation techniques such as remote ...

Showing results 21-40

Remote Video Streaming Engineer information

What does a remote video streaming engineer do?

A Remote Video Streaming Engineer is responsible for designing, implementing, and maintaining systems that deliver video content over the internet. They work with various streaming protocols, optimize video quality, and troubleshoot issues related to latency, buffering, and compatibility across devices. These engineers often collaborate with development teams, use cloud-based services, and ensure secure and efficient video transmission. Working remotely, they leverage collaboration tools and remote access to manage streaming infrastructure from anywhere.

What are the key skills and qualifications needed to thrive as a remote video streaming engineer?

To thrive as a Remote Video Streaming Engineer, you need expertise in video encoding, streaming protocols (like HLS/DASH), and a solid background in computer science or a related field. Familiarity with tools such as FFmpeg, cloud platforms (AWS, Azure), and content delivery networks (CDNs), along with relevant certifications, is highly beneficial. Strong problem-solving, communication, and teamwork skills help you address technical challenges and collaborate effectively with distributed teams. These skills ensure seamless streaming experiences, efficient troubleshooting, and the ability to adapt to evolving video technologies.

What are some common technical challenges a remote video streaming engineer faces and how can they be addressed?

A Remote Video Streaming Engineer often encounters challenges such as ensuring low-latency streaming, maintaining video quality across different network conditions, and handling high traffic loads efficiently. Addressing these issues typically involves optimizing encoding settings, implementing adaptive bitrate streaming, and using Content Delivery Networks (CDNs) to distribute content closer to end-users. Collaboration with backend developers, network engineers, and QA teams is also essential for troubleshooting and implementing robust solutions. Staying up to date with evolving streaming protocols and codecs is key to ongoing success in the role.

What is the difference between Remote Video Streaming Engineer vs Remote Video Content Producer?

AspectRemote Video Streaming EngineerRemote Video Content Producer
Required SkillsVideo streaming protocols, encoding, troubleshootingContent creation, editing, storytelling
Work EnvironmentTechnical teams, live streaming platformsCreative teams, media production environments
CertificationsNetworking, streaming technology certificationsMedia production, editing certifications
Industry UsageBroadcast, tech companies, streaming servicesMedia, entertainment, marketing

The main difference is that Remote Video Streaming Engineers focus on the technical aspects of delivering live or on-demand video content, ensuring smooth streaming and troubleshooting issues. In contrast, Remote Video Content Producers are responsible for creating, editing, and managing video content for various platforms. Both roles may collaborate but serve distinct functions within the video production and distribution process.

What are the most commonly searched types of Video Streaming Engineer jobs in Florida?

The most popular types of Video Streaming Engineer jobs in Florida are:

What are popular job titles related to Remote Video Streaming Engineer jobs in Florida?

For Remote Video Streaming Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Video Streaming Engineer jobs in Florida look for?

The top searched job categories for Remote Video Streaming Engineer jobs in Florida are:

What cities in Florida are hiring for Remote Video Streaming Engineer jobs?

Cities in Florida with the most Remote Video Streaming Engineer job openings:

Infographic showing various Remote Video Streaming Engineer job openings in Florida as of August 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Senior Computer Vision Engineer ID72408

Tampa, FL โ€ข On-site, Remote

AgileEngine
Software Developmentย โ€ขย 201 - 500 employees

$98K - $135K/yr

Full-time

Posted 18 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.