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Remote Embedded Machine Learning Jobs in Minneapolis, MN

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Define the right AI approach across machine learning and Generative AI initiatives * Establish ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/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 ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Minneapolis, MN

Remote Embedded Machine Learning information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

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

As of Jul 10, 2026, the average yearly pay for remote embedded machine learning in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 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 the most commonly searched types of Embedded Machine Learning jobs in Minneapolis, MN? The most popular types of Embedded Machine Learning jobs in Minneapolis, MN are:
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What job categories do people searching Remote Embedded Machine Learning jobs in Minneapolis, MN look for? The top searched job categories for Remote Embedded Machine Learning jobs in Minneapolis, MN are:
Remote Embedded Machine Learning jobs near you
Sr. AI Engineer/Architect (Remote)

Sr. AI Engineer/Architect (Remote)

A.C. Coy

Eagan, MN • Remote

Contractor

Re-posted 5 days ago

Job description

  • Tier One Technologies has an immediate need for a Sr. AI Engineer/Architect to support our US Government client.
  • This remote contract-to-hire position will be originated in Eagan, MN.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

  • Design and develop scalable solutions utilizing AI tools and machine learning models.
  • Conduct research, testing, and analysis to develop machine learning algorithms and predictive models.
  • Leverage big data processing and storage technologies to create datasets, prototypes, and data-driven solutions.
  • Perform model training, evaluation, integration, testing, tuning, and ongoing performance monitoring.
  • Lead and/or develop project requirements from inception through completion for complex and highly complex programs, while providing strategic guidance, technical leadership, and expert consultation to program and project teams.
  • Demonstrate continuous learning and adaptability within large-scale enterprise IT environments.
  • Troubleshoot software applications and technical implementations across complex enterprise ecosystems.
  • Design, develop, and integrate APIs to support business and technical requirements.
  • Query, manage, and analyze data using both SQL and NoSQL database technologies.

  • A degree from an accredited College/University in Software Engineering, Computer Science, Business, or related discipline is preferred.
  • 20+ years of IT-related experience.
  • Expertise in data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large scale data sets. Proficiency in practical application of Core Python Concepts.
  • Proficiency in Generative AI and prompt engineering.
  • Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or Scikit-learn.
  • Expertise in deploying Python applications in Cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
  • Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
  • Proficiency creating business and technical presentations in Microsoft software products.
  • Using design patterns for building scalable and maintainable applications/solutions.
  • Clearly document code, models, and technical solutions.
  • Ability to communicate effectively, both orally and in writing, with technical and non-technical team members.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Be able to pass a drug screening, criminal history, and credit checks.
  • Must be a US Citizen or have permanent residence status (Green Card).
  • Must have lived in the United States for the past 5 years.
  • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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