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Artificial Intelligence Machine Learning Engineer Jobs in Minnesota

AeroVironment

Machine Learning Engineer II

Minneapolis, MN · On-site

$102K - $144K/yr

Worker Type Regular Summary The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and develop a variety of innovative ...

OATI

AI Engineer

Bloomington, MN

$100K - $150K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a ... Solid Python programming skills and experience with modern AI/ML libraries. * Advanced knowledge of ...

Shipt

Staff Machine Learning Engineer

Minneapolis, MN · On-site +1

Impact As a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive key AI initiatives. In this role, you'll collaborate with Data Scientists to design and deploy ...

Sidmans

Senior Machine Learning Engineer

Minneapolis, MN

$109K - $149K/yr

Builds, trains and tunes machine learning models. Translates data science experiments into scalable ... Collaborate with Data Engineering on feature pipelines and data contracts. * Own production health ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Minnesota

Artificial Intelligence Machine Learning Engineer information

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$30.9K

$126.1K

$189.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for artificial intelligence machine learning engineer in Minnesota is $126,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Minnesota? For Artificial Intelligence Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Minnesota with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Minnesota as of June 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,118 per year, or $60.6 per hour.
Development Engineer/LEAD MACHINE LEARNING ENGINEER

Development Engineer/LEAD MACHINE LEARNING ENGINEER

UrBench

Minneapolis, MN • On-site

$65 - $70/hr

Contractor

Posted 5 days ago

Job description

Local candidates only
Must have local project in recent/Local DL copy
Overall 7+ years of exp
Visa - OPT/CPT/H4 EAD/Gc EAD/L2 EAD/USC/GC only
Rate - $65-70/hr W2 + $7 referral, open for higher rate based on their exp.
Client - TARGET
Location - Minneapolis, MN - Hybrid 2 days onsite
Role - Development Engineer/LEAD MACHINE LEARNING ENGINEER
Duration - 6-12 months contract with long term extension
Must Have:
Kaftka
Machine Learning
Machine Learning Development
Python, Pyspark or Scala
SPARK
Nice to Have:
Java
AS A LEAD MACHINE LEARNING ENGINEER
About Us:
Join our global in-house Tech and Data Sciences team
As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on Target.com and the Target App. 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 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.
Qualifications:
  • 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
  • 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
  • Highly proficient programming in Python and either PySpark or Scala
  • Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
  • Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker
  • Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute
  • Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI
  • Good understanding of Big Data tech, specifically Kafka, Spark
  • Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
  • Work in partnership with data scientists, software engineers and product managers to understand the business requirements and 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
  • Ability to collaborate effectively across global team
  • Experience in mentoring the junior team members ML skillset and career development
Nice to Have:
  • PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
  • Proficiency in Java
  • This position will operate as a Hybrid/Flex for Your Day work arrangement based on ***'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 *** HQ 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 ***.
  • Onsite 1 day a week at minimum. Sometimes teams may require up to 3 days and full Core Weeks attendance.

UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.

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About UrBench

Sourced by ZipRecruiter

Nurturing Excellence in the USA Since 2000 Hello, fellow explorer! Welcome to UrBench, where American excellence and expertise have been thriving since 2000. Get ready for a journey beyond the ordinary, because we're not your typical recruitment and staffing company. We're more like the architects of achievement, the conductors of compatibility, and the champions of collaboration right here in the States. Our High Skilled Team Players UrBench's adept team forge success by linking talent and opportunities with integrity and innovation. They empower individuals and organizations, propelling our mission forward. Our Expertise & Skills to All Business Because we're not just another company – we're your backstage pass to success, deeply rooted in the heart of the USA. With us, you're not a client; you're a collaborator, a co-pilot, and a fellow visionary in the quest for greatness on American soil. From tech revolutions to industry shifts, we've been here, shaping the landscape and creating success stories. Let's embark on this journey together, crafting history, one exceptional partnership at a time.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Austin, TX, US

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