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Machine Learning Manager Jobs in Minneapolis, MN

Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ... Detect and report defective materials or questionable conditions to management or engineers.

New

Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ... Model lifecycle management * Experience leading or mentoring other Data Scientists * Strong problem ...

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Machine Learning * Data Mining * Statistical Modeling * Data Application Design * Exploratory Data Analysis * Automated Data Pipelines * Data Accuracy Monitoring * Complex Dataset Management * Best ...

Showing results 21-40

Machine Learning Manager information

See Minneapolis, MN salary details

$53.2K

$85.3K

$123.2K

How much do machine learning manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning manager in Minneapolis, MN is $85,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $96,600.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Minneapolis, MN?

The most popular types of Machine Learning jobs in Minneapolis, MN are:

What are popular job titles related to Machine Learning Manager jobs in Minneapolis, MN?

For Machine Learning Manager jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Minneapolis, MN look for?

The top searched job categories for Machine Learning Manager jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Machine Learning Manager jobs?

Cities near Minneapolis, MN with the most Machine Learning Manager job openings:

Infographic showing various Machine Learning Manager job openings in Minneapolis, MN as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $85,287 per year, or $41 per hour.

Machinist Intern

kurt

Minneapolis, MN

$21 - $22/hr

Other, Internship

Posted 3 days ago

New


Job description

Job Summary

The Machinist Intern position allows students pursuing a career in the manufacturing industry the opportunity to gain experience while completing their program.
 

Essential Functions – WHAT WE WILL TEACH YOU TO DO

  • Set up and operate computer numerical controls (CNC) on machining centers to fabricate parts.
  • Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as worn or damaged cutting tools.
  • Run production lots, communicate with co-workers regarding productions runs, and maintain a safe, organized and clean work environment.
  • Detect and report defective materials or questionable conditions to management or engineers.
  • Operate CNC Mills and/or Lathes with knowledge of multiple pallets and work coordinated systems as they apply to existing CNC machines.
  • Perform inspection of machined products and document results.
  • Analyze processes and provide solutions to problems while working on reducing setup and cycle times.
  • Complete and maintain paperwork for parts.
  • Assist in other work areas as needed.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Reliable attendance is required.
 

Required

  • High School Diploma or equivalent GED
  • Enrolled in 1st year Machine Tool Technology or Automated Systems & Robotics Program
  • Communication proficiency
  • Math skills
  • Mechanical & Technical capacity

Preferred

  • Ability to read blueprints and build to specifications
  • Knowledge of CNC controllers and tools
  • Experience in a manufacturing environment

Shift/Hours: 1st or 2nd Shift Monday through Friday. Hours are flexible based on school schedule. 15 to 40 hours per week.

Shift Differential: 2nd Shift employees are eligible for a 20% shift differential on top of base pay.

Compensation:  The anticipated starting pay range for this position is $21.00 to $22.00. The exact rate may be based on a combination of factors, including knowledge, experience, skills, abilities, and education.

Physical Demand Factors 

 

The following physical demand factors should be used as a general guideline for employees listed under this job title.  Specific requirements will vary based on the employee’s individual work responsibilities.

 

Strength Level Rating:  Medium work.  Work involves exerting 20 to 50 pounds of force occasionally, or 10 to 25 pounds of force frequently, or an amount greater than negligible and up to 10 pounds constantly to move objects.

 

A worker in this job will frequently (from 1/3 to 2/3 of the time):

  • Reach by extending hands and arms
  • Handle objects by seizing, holding, grasping, turning or otherwise working with hands
  • Pick, pinch, or otherwise work primarily with fingers
  • Have near acuity with clarity of vision at 20 inches or less
  • Judge distances and spatial relationships (see objects three-dimensionally)

The worker will occasionally (up to 1/3 of the time):

  • Stoop by bending body downward and forward requiring full use of the lower extremities and back muscles
  • Kneel by bending legs at knees to come to rest on knee(s)
  • Crouch by bending  body downward and forward by bending legs and spine
  • Perceive attributes of objects, such as size, shape, temperature, or texture by touch
  • Hear by perceiving the nature of sounds by ear
  • Adjust vision to bring objects into sharp focus
  • Identify and distinguish colors