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Edge Ai Machine Learning Jobs in Minnesota (NOW HIRING)

Staxa Technologies

AI engineer

Minneapolis, MN

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and ...

THOMSON REUTERS

Lead Software Engineer, AI

Eagan, MN · On-site

... edge innovation in a mission-critical role? Do you thrive in environments where your technical ... In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN

... edge innovation in a mission-critical role? Do you thrive in environments where your technical ... In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a ...

Indeed

Senior Machine Learning Engineer

Saint Paul, MN

$105K - $144K/yr

Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML ... Develop LLM and machine learning model improvements, scale them in production, and run iterative A ...

Indeed

Machine Learning Engineer

Saint Paul, MN · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Responsibilities * Build AI/ML systems for search, ranking, and recommendations * Develop LLM ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Minnesota? The most popular types of Edge Ai Machine Learning jobs in Minnesota are:
What are popular job titles related to Edge Ai Machine Learning jobs in Minnesota? For Edge Ai Machine Learning jobs in Minnesota, the most frequently searched job titles are:
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What cities in Minnesota are hiring for Edge Ai Machine Learning jobs? Cities in Minnesota with the most Edge Ai Machine Learning job openings:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 13% Internship, 81% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution.
Sr AI/ML Scientist - Remote

Sr AI/ML Scientist - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 25 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 872 rated healthcare providers

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Optum AI team members:
  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

Primary Responsibilities:
  • Develop novel AI strategies to drive complex healthcare solutions by building machine learning, deep learning, and Generative AI models using cutting-edge methods
  • Research, design, and implement scalable innovative machine learning models to support production processes, including processing and transforming source data for machine learning pipelines in cloud environments
  • Evaluate emerging trends to inform solution design and drive strategic innovation across the enterprise
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible and ethical use of AI
  • Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities that can be re-used by the enterprise
  • Collaborate with cross-functional teams to determine the applicability of AI to specific business problems
  • Demonstrate self-driven initiative by taking ownership of projects and creating end-to-end solutions
  • Develop comprehensive model and code documentations, as well as publications and patents for scientific journals and conferences

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • PhD in Computer Science, Machine Learning, or a related quantitative field
  • 3+ years of experience using machine learning to solve problems in natural language processing (NLP), generative AI, architecture design, prompt engineering, RAG, and fine-tuning LLMs
  • 3+ years of experience with deep learning frameworks such as PyTorch and TensorFlow
  • Record of publications in prominent research journals and conferences

Preferred Qualifications:
  • Familiarity with advanced document parsing methods
  • Experience in developing and maintaining end-to-end ML pipelines
  • Ability to mentor other researchers and engineers in AI/ML advancements
  • Experience collaborating with academic researchers on innovative solutions
  • Familiarity with healthcare data sets and specific industry challenges

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
#optumaiscience
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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