
AI Machine Learning Engineer
Minneapolis, MN · HybridFull-time$103–176K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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At a glance
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Job overview
The AI Machine Learning Engineer supports the development, testing, and deployment of AI and machine learning solutions. The role assists with model design and evaluation, dataset preparation, and integrating models into production systems while building foundational AI engineering knowledge. It collaborates with data scientists, engineers, and product teams and contributes to experiments, documentation, and team knowledge sharing.
Skills & qualifications
Skills
Qualifications
Full job description
Job Duties
We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.
The AI Machine Learning Engineer supports the development, testing, and deployment of AI and machine learning solutions that enhance business capabilities. This entry-level role provides hands-on experience working with data and models while building foundational knowledge in AI engineering practices.
ESSENTIAL DUTIES
Assist in designing, developing, and testing machine learning models for tasks such as classification, regression, clustering, and recommendations.
Support preprocessing and basic analysis of datasets using standard data tools.
Work with data scientists, engineers, and product teams to help integrate models into production systems.
Assist with experiments and model evaluations, documenting results for senior team members.
Stay up to date with the latest AI/ML research and contribute to team knowledge sharing.
SUCCESSFUL CHARACTERISTICS / SKILLS
Experience & Background
1-2 years of experience in machine learning, data science, or software development (internship or academic projects acceptable).
Core Technical Proficiency
Familiarity with Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Basic knowledge of data manipulation and visualization tools.
Broad understanding of machine learning principles and algorithms.
MLOps & Deployment
Awareness of MLOps practices and tools, such as version control, containerization, or model monitoring.
Advanced Methods
Foundational understanding of deep learning, natural language processing (NLP), or computer vision concepts.
Professional Traits
Ability to work independently with guidance and take initiative on assigned tasks.
Strong analytical and problem-solving skills with eagerness to learn and grow.
Ability to clearly document and communicate findings.
EDUCATION/CERTIFICATION REQUIREMENTS
Bachelor's degree in computer science, data science, engineering, mathematics, or a related field (or equivalent practical experience).
Azure AI Fundamentals or similar entry-level certification (preferred).
WHAT RSM OFFERS
Opportunities to develop AI/ML engineering skills in a collaborative environment.
Mentorship from experienced professionals and exposure to enterprise-level projects.
Access to training and professional development programs.
Competitive salary and benefits package.
At RSM, we offer a competitive benefits and compensation package for all our people.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs.
All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at [email protected].
RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.
RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.
At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Compensation Range: $102,800 - $176,000
Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.
RSM is an equal opportunity/affirmative action employer. Minorities/Females/Disabled/Veterans.
Minimum Education Required
Bachelor Degree
Minimum Experience Required
1 - 2 years
Shift
First (Day)
Number of Openings
1
Public Transportation Accessible
Yes
Veterans Encouraged to Apply
No
Physical Required
Yes
Drug Test Required
Yes
Compensation
$102,800.00 - $176,000.00 / Annually
Postal Code
55402
Job Type
Full Time
Place of Work
On-site
Requisition ID
JR122103
Job Benefits
Not specified
How this job compares
Set against the 5,888 open Machine Learning Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$103–176K/yr
- Minnesota median$125–215K/yr74 salary ranges
- US median$145–245K/yr4,656 salary ranges
This range's midpoint, $139K, is 17% below the Minnesota median midpoint ($167K) — in the lowest quarter of Machine Learning Engineer salary ranges in Minnesota.
- Openings
- Olive Jobs lists 85 open Machine Learning Engineer jobs in Minnesota and 5,888 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in Minnesota
- UnitedHealth Group15 open
- Accenture8 open
- Deloitte6 open
- Experience
- This posting asks for at least 1 year of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,725 postings).
- Education
- 2,412 of the 5,888 open Machine Learning Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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