ZipRecruiter

Log In

2

Remote Embedded Machine Learning Jobs in Minneapolis, MN

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 ...

UnitedHealth Group

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and ...

New

UnitedHealth Group

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and ...

New

UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

In this role, you will design, build, and optimize cutting-edge AI and machine learning solutions that directly improve underwriting workflows, simplify the healthcare benefits planning experience ...

New

UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

In this role, you will design, build, and optimize cutting-edge AI and machine learning solutions that directly improve underwriting workflows, simplify the healthcare benefits planning experience ...

New

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 ...

next page

Showing results 1-20

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 Aug 28, 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 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 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:

What are popular job titles related to Remote Embedded Machine Learning jobs in Minneapolis, MN?

For Remote Embedded Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:

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
Infographic showing various Remote Embedded Machine Learning job openings in Minneapolis, MN as of June 2026, with employment types broken down into 50% Full Time, 16% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $160,102 per year, or $77 per hour.

AI/ML Architect

Tror AI for everyone

Minneapolis, MN • Remote

Contractor

Re-posted 28 days ago

Job description

Role: AI/ML Architect

Remote

JD-

  • AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
  • Job Description:
  • Design and lead AI architecture for business use cases
  • Define the right AI approach across machine learning and Generative AI initiatives
  • Establish architecture standards, reusable patterns, and best practices for AI development
  • Guide integration of AI models into applications and enterprise systems
  • Lead development, deployment, monitoring, and continuous improvement of AI solutions
  • Ensure AI solutions are secure, scalable, reusable, and aligned with governance standards
  • Work closely with business, engineering, and data teams to deliver practical AI solutions
  • Provide technical leadership and guidance across AI initiatives
  • Recommend tools, platforms, and best practices for AI development
  • Skills / Requirements:
  • Experience with AI/ML and Generative AI, including LLMs, prompting, orchestration, and evaluation
  • Ability to design scalable, reusable AI architectures
  • Applied machine learning knowledge (model selection, training, tuning)
  • Strong understanding of machine learning concepts and model lifecycle
  • Proficiency in Python for AI/ML solution development
  • Experience integrating AI models through APIs and enterprise systems
  • Experience with cloud-based AI platforms and services
  • Familiarity with MLOps, AI governance, and platforms such as Azure, AWS, or Google Cloud

Client Feedback-

The candidate should have more AI/ML experience – Blend of Hands on experience + Solutioning.