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Machine Learning Manager Jobs in Minnesota (NOW HIRING)

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Machine Learning Manager information

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$50K

$80K

$115.6K

How much do machine learning manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning manager in Minnesota is $80,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $90,600.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

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 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 Machine Learning Manager jobs in Minnesota? For Machine Learning Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Minnesota look for? The top searched job categories for Machine Learning Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Machine Learning Manager jobs? Cities in Minnesota with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $80,026 per year, or $38.5 per hour.
Diesel Program Intern

Diesel Program Intern

General Equipment & Supplies

Shakopee, MN

Part-time

Re-posted 14 hours ago

Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Builds knowledge of dealer supported product lines, service standards and procedures
  • Assists in field repairs and maintenance jobs with supervision
  • Basic testing knowledge of all machine systems
  • Assists with repair and recondition of all equipment components and systems
  • Develops and employs diagnostic related reasoning skills
  • Responsible for operating heavy construction equipment in a safe manner
  • Assists in the collection of data necessary for efficient inventory control
  • Maintains a clean and safe working environment
  • Maintains and cares for shop tools, equipment and vehicles
  • Assists in completing all paperwork required for jobs
  • Maintains close, positive working relationships with service, parts and administrative personnel
  • May perform other duties as directed by the Service Management

REQUIRED SKILLS:

  • Must be enrolled in Diesel Technology Program.
  • Willing to obtain a Class A CDL License

ADDITIONAL JOB REQUIREMENTS:

  • Must share our Core Values: Do the Right Thing, Have Passion, Be Innovative and Be Curious
  • Works in an efficient and effective manner
  • Contributes to departmental and product line goals
  • Must have excellent customer service skills, with both internal and external customers
  • Organizational skills with ability to effectively manage multiple projects
  • Must be personable, highly motivated, a problem solver, reliable, ethical and able to adapt to all forces around them – customers, suppliers, coworkers and manufacturers
  • Must have the drive and ability to learn equipment, mechanical and diagnostic skills
  • Must have a positive mental attitude
  • Requires a valid driver’s license and the ability to maintain an insurable driving record

 

NATURE AND SCOPE OF JOB:

  • Occasionally lifting, carrying, pushing or pulling 100+ pounds and/or frequently lifting, carrying, pushing or pulling 50+ pounds and/or continuous lifting, carrying, pushing or pulling 20+ pounds.
  • Occasional to frequent walking or standing
  • Frequent and continual movement as follows, often several of movements simultaneously (i.e. handle while crouching, carry while kneeling):
    • Kneel (bend legs at knee, come to rest on knees)
    • Crouch/Squat (bend body down and forward, bending legs and spine)
    • Crawl (move on hands, knees, and feet)
    • Climb (ascend/descend ladders, stairs, ramp or step up on or down from equipment/trailer)
    • Stoop (Bend downward and forward at waist)
    • Lift (raise or lower object > 25 pounds from one level to another)
    • Carry (transport an object)
    • Push (press with steady force, thrust objects forward, downward, outward)
    • Pull (drag or tug objects)
    • Turn/twist (move a body part in circular motion)
    • Bend (bend downward and forward by bending the spine at waist)
    • Reach (extend hands and arms in any direction)
    • Handle (seize, hold turn with hands)
    • Repetitive motion of wrists, hands, and fingers
  • Hearing and speaking to exchange information
  • Dexterity of hands and fingers to operate equipment
  • Consistently exposed to weather conditions, fumes, and loud noise

The duties described above are the general nature and levels of work performed, but are not intended to be a complete comprehensive list of all the duties, activities, and responsibilities required of job incumbents. Duties, responsibilities and activities may change at any time with or without notice.

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