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Junior Machine Learning Jobs in Minnesota (NOW HIRING)

Deloitte

AI Solutions Architect

Minneapolis, MN

$65.75 - $86.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

York Solutions, LLC

ML Engineer

Saint Paul, MN · On-site +1

AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you?ll ... Provide technical guidance and mentorship to junior team members, fostering a culture of continuous ...

Autodesk

Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and ... Mentor junior engineers and provide technical guidance on complex data challenges * Drive technical ...

U.M.C., Inc.

CNC Machinist-Swiss-Weekends

Monticello, MN · On-site

$33.38 - $42.26/hr

We're a passionate team that values collaboration, continuous learning, and going above and beyond ... Junior Machinists and Production Operators in diagnosing and resolving technical issues that arise ...

U.M.C., INC.

CNC Machinist-Swiss-Weekends

Monticello, MN · On-site

$33.38 - $42.26/hr

We're a passionate team that values collaboration, continuous learning, and going above and beyond ... Junior Machinists and Production Operators in diagnosing and resolving technical issues that arise ...

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All JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Minnesota

Junior Machine Learning information

See Minnesota salary details

$7

$26

$46

How much do junior machine learning jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for junior machine learning in Minnesota is $26.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $32.50 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Minnesota? The most popular types of Machine Learning jobs in Minnesota are:
What are popular job titles related to Junior Machine Learning jobs in Minnesota? For Junior Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Minnesota look for? The top searched job categories for Junior Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Junior Machine Learning jobs? Cities in Minnesota with the most Junior Machine Learning job openings:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $54,914 per year, or $26.4 per hour.
Machine Learning Engineering Manager

Machine Learning Engineering Manager

Indeed

Saint Paul, MN

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Indeed rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

7th of 188 rated software companies

Job description

Our Mission

As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2025)

Day to Day

At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes.

As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will include developing and innovating machine learning ecosystems that upgrade job seeker journey experience end to end

Responsibilities

  • Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications.

  • Work to understand, prioritize, and plan the team's work items without external guidance.

  • Ensure delivery of machine learning solutions, set expectations for what can be done and by when, and prioritize incoming projects.

  • Improve existing Agile, ML, and A/B testing processes and develop new ones.

  • Scope projects, gather and improve on requirements, and delegate work effectively.

  • Partner with and provide project direction and feedback to cross-functional peers, including Product Managers, Software Engineers.

  • Remove roadblocks and give individual contributors autonomy and ownership.

  • Brainstorm with teammates about practical experimental design, navigating production codebases, and model development.

  • Be prepared to closely engage and contribute directly to implementation when necessary.

Skills/Competencies

  • Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master's degree with a minimum of 6 years of experience; or a PhD with a minimum of 3 years experience

  • Demonstrated achievement as a Manager in Machine Learning Engineering, overseeing teams of 3 or more, and addressing intricate, large-scale problems

  • Well-versed in coding (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark

  • Have full-stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring

  • Highly effective in coaching Machine Learning Engineers, facilitating qualification enhancement, and fostering career development

Salary Range Transparency

Tier 1 - United States of America 163,000 - 245,000 USD per year

Tier 2 - United States of America 182,000 - 272,000 USD per year

Tier 3 - United States of America 199,000 - 299,000 USD per year

Tier 4 N/A

Tier 5 - United States of America 227,000 - 341,000 USD per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits !

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers).

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Indeed's Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at https://www.indeed.com/legal , we also want to make you aware of our recruitment specific privacy policy found at https://www.indeed.com/legal/indeed-jobs .

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

AI Notice

Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.

Reference ID: 47119

The deadline to apply to this position is 6/9. Job postings may be extended at the hiring team's discretion based on applicant volume.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#AIDATA

Reference ID: 47119

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