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Remote Embedded Machine Learning Jobs in Hollywood, FL

OneStream

AI Engineer

Fort Lauderdale, FL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Motorola

Senior DevOps Engineer (US REMOTE)

Plantation, FL · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

DataAnnotation

QA Engineer - AI Trainer

Sunrise, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Davie, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Hollywood, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Plantation, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Hollywood, FL

Remote Embedded Machine Learning information

See Hollywood, FL salary details

$64.2K

$140.7K

$159.6K

How much do remote embedded machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote embedded machine learning in Hollywood, FL is $140,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $158,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Hollywood, FL? For Remote Embedded Machine Learning jobs in Hollywood, FL, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Hollywood, FL look for? The top searched job categories for Remote Embedded Machine Learning jobs in Hollywood, FL are:
What cities near Hollywood, FL are hiring for Remote Embedded Machine Learning jobs? Cities near Hollywood, FL with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

Technical Marketing Lead

Intuition Machines, Inc.

Miami, FL • Remote

Full-time

Re-posted 23 days ago

Job description

Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our best-known product, the hCaptcha security suite.
Our approach is simple: high agency, small teams, and rapid iteration. AI/ML is at the core of our products. We build our systems for speed, with a team distributed around the world.

We’re looking for a Technical Marketing Lead who thrives at the intersection of engineering and go-to-market strategy. In this role, you’ll take complex product capabilities and translate them into clear, compelling stories that resonate with technical audiences: developers, security teams, and decision-makers alike.

If you have an engineering background and enjoy shaping product narratives, building developer-focused content, and creating programs that drive adoption, this role offers the opportunity to make a significant impact.

Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.


What will you do:
  • Design and run technical marketing campaigns that generate qualified leads and showcase our solutions’ value.
  • Develop precise, technically credible messaging, positioning, and value propositions.
  • Create high-impact technical content: whitepapers, solution briefs, blogs, demos, webinars, and competitive insights that empower sales teams and educate customers.
  • Build training resources, demo environments, and competitive analyses to strengthen sales, solutions engineering, and partner success.
  • Represent Intuition Machines as a trusted advisor: presenting at conferences, webinars, and industry events.
  • Partner closely with Product, Engineering, and Sales to ensure technical roadmaps align with marketing strategies.

What we are looking for:
  • 5+ years in technical marketing, product marketing, developer advocacy, or solutions engineering in B2B technology (cybersecurity, identity, or adjacent fields).
  • 5+ years in an engineering role (software, systems, or related technical field).
  • Strong track record creating demos, technical documentation, and developer-facing content.
  • Knowledge of modern go-to-market approaches (PLG, ABM, channel, etc.).
  • Familiarity with open-source communities or developer ecosystems.

What do we offer:
  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting-edge R&D.
  • Flat organization with direct interaction with customer teams.


We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.

Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.