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Remote Embedded Machine Learning Jobs in Taylor, MI

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-AS1

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · Remote

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... for embedded systems, and deployment in real-world, intermittently connected environments

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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

AI Engineer

Birmingham, MI • Remote

OneStream
Software Development • 51 - 200 employees
Learn more about OneStreamexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

AI Engineer

Location:  Hybrid, United States 

Employment Type: Full-Time 

Benefits Offered: Vision, Medical, Life, Dental, 401K 

Gross Annual Base Salary: USD 95,000 - 133,000

Additional variable compensation and benefits may apply. Total compensation is based on experience, skills, and location using objective, job-related criteria.

This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. 

Summary  

As an AI Engineer you will be a critical member in executing our AI initiatives within the OneStream platform.

The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities.

Primary Duties and Responsibilities 

  • Design and develop scalable, high-performance applications and services using a variety of software architecture design patterns.
  • Implement robust AI systems and functionalities, ensuring optimal performance and scalability.
  • Troubleshoot and debug issues across the full stack, from the user interface to the database layer to ensure the reliability of releases.
  • Participate and eventually lead technical design sessions to decompose and design complex systems and interfaces.
  • Collaborate with cross-functional teams to ensure technical and user requirements are met.
  • Must be a self-starter, continuously be learning both best code practices and the latest technologies in the AI ecosystem.

Required Education and Experience 

  • Bachelors Degree or similar work experience.
  • CS/DS/EE/CE Degree or similar experience.
  • 1-3 years of experience building and deploying production-level machine learning solutions or similar experience.
  • 1-3 years of strong programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or similar experience).

    Preferred Education and Experience 

    • Experience with webservices and API frameworks (Flask, FastAPI, etc.).
    • Knowledge of distributed systems and cloud-based computing (Azure).

    Knowledge, Skills, and Abilities 

    • Self-Starter to decompose a problem and plan a solution.
    • Ability to quickly learn new technologies and adapt to changes in technology and the business environment.
    • Highly adaptive to changing circumstances, with the ability to tackle problems quickly.
    • Excellent written and verbal interpersonal skills.
    • Excellent organization, scheduling, project management and multi-tasking skills.
    • Ability to write clean, efficient, and well-documented code.
    • Interest in continuous learning opportunities as the AI landscape continues to evolve.
    • Capable and comfortable effectively presenting in front of your peers.
    • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments.
    • Highly self-motivated and proactive.
    • Demonstrates meticulous attention to detail.
    • Comfortable engaging and presenting to C-level executives from time to time.

    Who We Are 

    OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the AI operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit www.onestream.com.

    Why Join The OneStream Team 

    • Transparency around corporate structure, salary, and benefits. 
    • Core value of customer success. 
    • Variety of project work (not industry-specific). 
    • Strong culture andcamaraderie. 
    • Multiple training opportunities. 

    Benefits at OneStream

    OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: 

    • Excellent Medical Plan. 
    • Dental & Vision Insurance. 
    • Life Insurance. 
    • Short & Long Term Disability. 
    • Vacation Time. 
    • Paid Holidays. 
    • Professional Development. 
    • Retirement Plan. 

    All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. 

    OneStream is an Equal Opportunity Employer. 

    #LI-REMOTE #LI-AS1

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