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Embedded Machine Learning Engineer Jobs in Minnesota

SynergisticIT

AI and Machine Learning Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design ...

Kasmo Global

Embedded Software Engineer

Burnsville, MN · On-site

$135.40K - $178.20K/yr

Our teams deliver all embedded software from low-level device drivers to computer vision, to machine learning algorithms. Engineering for Reality Labs device systems spans multiple target classes ...

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Embedded Machine Learning Engineer information

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$68.6K

$150.2K

$170.4K

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

As of Jun 3, 2026, the average yearly pay for embedded machine learning engineer in Minnesota is $150,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $169,400.00 per year, depending on experience, location, and employer.

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 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 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 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
Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$132K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,808 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $132,000.00 - $238,000.00
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 US AS A LEAD MACHINE LEARNING ENGINEER - MERCHANDISING AI
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 the Lead Machine Learning Engineer - Merchandising, you will join a Data Sciences team responsible for creating and optimizing the data and models used to build a world-class merchandising product. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you may 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 in applied machine learning
  • 5 plus years of experience in end-to-end machine learning application development, including data pipelining, model optimization, deployment and API design
  • Extensive experience with applied machine learning frameworks and the ability to developing highly distributed machine learning systems at scale
  • Highly proficient in Python programming
  • Strong understanding of CI/CD practices for machine learning systems and ML Ops principles
  • Extensive experience with Google Cloud's Vertex AI and/or the broader cloud-based ML ecosystem
  • Demonstrated knowledge of various testing frameworks and containerization like Docker and Kubernetes
  • Lead the development of agentic AI solutions that connect data, tools, APIs and business rules into end-to-end decisioning workflows
  • Demonstrated experience in REST API design and development
  • Extensive understanding of Big Data technologies including Hadoop, Spark and Kafka
  • Proven ability to collaborate with data scientists, software engineers and product managers to deliver scalable machine learning solutions
  • Excellent communication skills with an ability to tell data-driven stories through visualizations and narratives
  • Ability to mentor engineers and help establish engineering standards, architecture patterns, and best practices for AI/ML and cloud-native development.
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative global environment

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location 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.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E
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 : 06/25/2026

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About Target

Sourced by ZipRecruiter

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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