AI Data Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's AI data engineer hiring is anchored by companies like Target, UnitedHealth Group, and 3M in the Twin Cities metro, alongside a growing university research pipeline from the University of Minnesota. Minneapolis and Saint Paul hold the highest concentration of roles, with sponsorship activity spanning retail tech, healthcare analytics, and enterprise software.
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Job Title: Machine Learning / Artificial Intelligence Intern
FLSA Status: Non Exempt
Department: R&D Engineering
Reports to: Lead Engineer, Data Science AI/ML
GENERAL DESCRIPTION / PURPOSE:
The Machine Learning / Artificial Intelligence Intern will assist in planning, researching, developing, and implementing new technologies for image processing and data analysis in the railroad industry. Duties will include all facets of product life cycle for prototype and production systems. Candidate will be required to work with internal and external stakeholders.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Functional & Technical Skills
- Develop and implement ML and CV algorithms for a variety of problems including classification, identification, and robotics
- Assist with planning and execution of software testing activities, as well as complex and challenging technical projects
- Participate in requirements gathering and evaluation methods for AI technologies and benchmark vendor technologies
- Aid in the design, build, and implementation of AI solutions for our proof of concepts and experiments
- Knowledge and hands-on expertise in deep neural network topologies such as convolutional nets, recurrent nets, RBMs, causal reasoning, probabilistic programming
- Evaluate positive and negative aspects of competing technologies from the perspective of both the solution provider and the customer
- Capabilities to manage large amounts of data including developing effective coding / scripting routines for automation of data management
- Passion for driving innovation in railroad environment that prioritizes safety, up-time, and daily production
- Collaborate with team members to automate railway maintenance equipment
- Deploying AI software to existing inspection systems operating in real-time environments
- Integrate cutting edge models into training and annotation pipeline
To perform this job successfully, an individual must be able to perform each essential duty satisfactory. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Education and/or Experience: The individual must be pursuing a BS or higher degree in Engineering, or related field and shall have achieved junior status or higher. The individual shall also have completed the “core” coursework for his/her chosen discipline.
Computer Skills: Solid computer skills consistent with the position requirements to include Microsoft Windows Office Suite, Python, PyTorch, OpenCV, Pandas; Linux, Docker, SQL, C# experience is a plus;
Reasoning Ability: Ability to correctly make decisions involving issues/problems including when to escalate the problem to a more senior consultant.
Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is frequently required to sit or kneel; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.
Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee may frequently work near moving mechanical parts, in outside weather conditions and is frequently exposed to vibration. The employee is occasionally exposed to fumes or airborne particles and risk of electrical shock.
The noise level in the work environment is usually moderate.
AI Data Engineer Job Roles in Minnesota
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Search AI Data Engineer Jobs in MinnesotaAI Data Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Minnesota?
The most active sponsors for AI data engineer roles in Minnesota include Target, UnitedHealth Group, 3M, Optum, and Cargill, primarily headquartered in the Twin Cities. Mid-sized tech firms and healthcare analytics companies in the Minneapolis metro also file H-1B visa petitions regularly for this role. Sponsorship is most common at larger enterprises with established immigration programs and dedicated HR infrastructure.
Which visa types are most common for AI data engineers in Minnesota?
The H-1B is the most common visa category for AI data engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, data science, or a related field. Candidates already on F-1 OPT or STEM OPT extensions may be sponsored for H-1B cap-subject petitions through employers who file in the annual April lottery.
How to find ai data engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters AI data engineer roles in Minnesota by visa sponsorship history, so you're not manually sifting through postings from companies that don't sponsor. Search by role and state on Migrate Mate to surface employers like Target, UnitedHealth Group, and Optum that have a documented track record of sponsoring H-1B petitions for data engineering positions.
Which cities in Minnesota have the most AI data engineer sponsorship jobs?
Minneapolis and Saint Paul account for the vast majority of AI data engineer sponsorship activity in Minnesota. The broader Twin Cities metro, including suburbs like Bloomington, Minnetonka, and Eden Prairie, is where most major corporate headquarters and tech campuses are based. Rochester has a secondary concentration driven by Mayo Clinic's data science and health AI initiatives, which regularly require engineering talent.
Are there state-specific considerations for AI data engineers pursuing sponsorship in Minnesota?
Minnesota's employer base skews heavily toward healthcare, retail, and agriculture technology, meaning AI data engineer roles here often involve domain-specific pipelines, such as clinical data or supply chain analytics, rather than general consumer tech. The University of Minnesota produces a steady pipeline of graduate talent in machine learning and data engineering, which keeps competition for roles meaningful. Employers must meet Department of Labor prevailing wage requirements when filing an LCA for H-1B sponsorship.
What is the prevailing wage for sponsored ai data engineer jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.