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Embedded Machine Learning Engineer Jobs in Minnesota

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

... machine learning algorithms used in cardiac remote monitoring. This position will work alongside and collaborate closely with engineers with expertise in signal processing, embedded systems, cloud ...

TriSearch

Embedded Software Engineer

Brooklyn Park, MN · On-site

$105K - $118K/yr

Embedded Software Engineer Location: Brooklyn Park, MN (Onsite) Work Authorization: Applicants must ... Periodic exposure to a factory environment containing dust and machine noise. * Periodic standing ...

TechLink Systems, Inc.

Senior Embedded Engineer

Shakopee, MN · On-site

$132K - $173K/yr

Senior Embedded Engineer - Direct Hire Location: Shakopee, MN Salary: $ 100,000-120,000 annually ... You take time to ask questions, define challenges, and make learning a priority. You investigate ...

Deloitte

AI Solutions Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

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Embedded Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Minnesota? For Embedded Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Embedded Machine Learning Engineer jobs? Cities in Minnesota with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you
Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,906 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A SR AI/ML ENGINEER - MARKETING TECH
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on. Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for model performance at scale.
As a Sr AI/ML Engineer, you will join a Data Sciences team responsible for implementing solutions that create and maintain audiences for highly personalized offers to our Guests. You will collaborate with cross-functional partners in product, engineering, marketing, and analytics to define strategy, lead experimentation, and ensure that personalization drives measurable impact for our guests and business.
You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. We will also expect you to understand best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
  • 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
  • MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
  • 3 plus years' of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment, and API design
  • Experience deploying Machine Learning algorithms into production environments
  • Highly proficient programming in Python
  • Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn and ONNX
  • Extensive experience with one or more cloud ML service such as GCP Vertex AI, Azure ML or Sagemaker
  • Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
  • Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
  • Good understanding of Big Data tech, specifically Hadoop ecosystem - Spark, Kafka, Hive, etc.
  • Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
  • Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale
  • Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented - able to meet tight timelines
  • ]Motivated, team player with ability to collaborate effectively across global team
  • Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/27/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Target

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We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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