ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Coral Springs, FL

micro1 AI

AI Trainer - Microbiology Expert

Miramar, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Hialeah, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Davie, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Hollywood, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Sunrise, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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 ...

previous pagenext page

Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Coral Springs, FL

Remote Embedded Machine Learning information

See Coral Springs, FL salary details

$66.7K

$146.1K

$165.7K

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

As of Aug 8, 2026, the average yearly pay for remote embedded machine learning in Coral Springs, FL is $146,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $164,800.00 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?

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 job categories do people searching Remote Embedded Machine Learning jobs in Coral Springs, FL look for? The top searched job categories for Remote Embedded Machine Learning jobs in Coral Springs, FL are:
What cities near Coral Springs, FL are hiring for Remote Embedded Machine Learning jobs? Cities near Coral Springs, FL with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

Lead iOS Engineer: Clinical Platform

FitMatch

Fort Lauderdale, FL • On-site, Remote

$133K/yr

Full-time

Posted 15 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

Apply