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Remote Embedded Machine Learning Jobs in Taylor, MI

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

micro1 AI

AI Trainer - Microbiology Expert

Ann Arbor, MI · 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

Warren, MI · 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

Detroit, MI · 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

Dearborn, MI · 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.

JDA

Sr Technical Architect - Supply chain

Southfield, MI · On-site +1

$100K - $143K/yr

Our AI-embedded, interoperable supply chain solutions connect every aspect of the supply chain ... AI and Machine Learning for predictive insights and intelligent decision-making. * IoT and Edge ...

JDA

Sr Technical Architect - Supply chain

Ann Arbor, MI · On-site +1

$100K - $143K/yr

Our AI-embedded, interoperable supply chain solutions connect every aspect of the supply chain ... AI and Machine Learning for predictive insights and intelligent decision-making. * IoT and Edge ...

OneStream

AI Engineer

Birmingham, MI · Remote

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

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Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Taylor, MI

Remote Embedded Machine Learning information

See Taylor, MI salary details

$65K

$142.4K

$161.5K

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

As of Sep 9, 2026, the average yearly pay for remote embedded machine learning in Taylor, MI is $142,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $160,600.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Remote Embedded Machine Learning jobs in Taylor, MI look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Taylor, MI are:

Remote Embedded Machine Learning jobs near you

MLOps Engineer // REMOTE / Work-Life Balance

Detroit, MI • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

Contractor

Medical, Dental, Vision

Posted 8 days ago

Job description


An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise environments.
This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements.
Required Skills & Experience
  • 3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
  • Experience deploying machine learning models into production environments
  • Strong Python development and scripting skills
  • Hands-on experience with AWS cloud services
  • Experience with Databricks or comparable data/AI platforms
  • Experience building and maintaining CI/CD pipelines
  • Docker and Kubernetes experience
  • Monitoring, observability, and incident response experience
  • Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
Desired Skills & Experience
  • Exposure to large language models (LLMs) and generative AI systems
  • Experience with AI cost optimization and resource management
  • SQL and data analytics experience
  • Infrastructure-as-Code experience
  • Model versioning and reproducibility knowledge
  • Experience supporting enterprise-scale AI workloads
What You Will Be Doing
Tech Breakdown
  • 40% Cloud Infrastructure (AWS, Databricks)
  • 25% Kubernetes & Container Management
  • 20% CI/CD & Deployment Automation
  • 15% Monitoring, Observability & Reliability

Daily Responsibilities
  • 80% Hands On Engineering
  • 5% Strategic Planning
  • 15% Team Collaboration

The Offer
  • Competitive hourly rate
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1

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