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Machine Learning Engineer Intern Jobs in Kalispell, MT

We empower our team to push the boundaries of what is possible-while learning every day in a ... machinery including forklifts. Additionally, because this position may involve working in a clean ...

Engineering Technician IV

Kalispell, MT · On-site

$29 - $39.60/hr

We empower our team to push the boundaries of what is possible-while learning every day in a ... machinery including forklifts. Additionally, because this position may involve working in a clean ...

Machine Learning Engineer Intern information

See Kalispell, MT salary details

$25.3K

$42.2K

$87.3K

How much do machine learning engineer intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer intern in Kalispell, MT is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

Infographic showing various Machine Learning Engineer Intern job openings in Kalispell, MT as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $42,066 per year, or $20.2 per hour.

Mechanical Engineer lV

Kratos Defense

Columbia Falls, MT

Full-time

Posted 6 days ago


Kratos Defense & Security Solutions rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Overview: Nomad Global Communications Solutions is a leading provider of communication and response products serving a wide variety of customers. Our purpose is to be the solution when every minute matters. We seek a candidate that is self-inspired to learn and demonstrates a high degree of customer service while positively contributing to our team.

Mechanical Engineers (ME) work is a critical function in the engineering process, being responsible for taking designs from concept through full production documentation. Accuracy and completeness must be maintained through all levels of design to provide complete Bill of Materials (BOMs) and production worthy CAD models/ drawings to the manufacturing teams. All ME deliverables must meet or exceed Nomad Global Communication Solutions' standards of excellence.

Mechanical Engineers must apply practical engineering science and technologies to designs. These include application of fluid mechanics, materials, structures, dynamics, basic electrical theory, and machine component design. Expertise in raw material selection, manufacturing processes (welding, machining, & sheet metal), quality control, and concentration on cost mitigation are also core required competencies.

Depending on level (I-V), Engineers progress from learning foundational engineering practices and supporting designs to independently leading complex platform architectures, mentoring others, and driving technical strategy across the organization.

Career Growth: Mechanical Engineers at Nomad GCS progress through five levels based on demonstrated technical mastery, independence, leadership, and impact. Advancement is supported through mentorship, project ownership, and alignment with Nomad's Core Values.

Organizational Structure: Nomad Engineering is organized into Teams and Disciplines within the Innovative Solutions Division.

Teams:

  • Team 1 (Standards and Modularity): Builds and maintains engineering standards, modules, templates, and rules enabling repeatability and scale.
  • Team 2 (Design): Executes project-level engineering using established standards and less complex custom configurations.
  • Team 3 (Advanced): Develops novel systems and resolves first-of-kind engineering challenges.
  • Team 4 (Manufacturing & Industrial Engineering): Ensures manufacturability, safety, engineering intent, efficiency, and continuous improvement throughout Production.

Disciplines:

  • Mechanical Engineering
  • Electrical Engineering
  • IT Engineering
  • Human Factors Engineering
  • Software Engineering

A Mechanical Engineer may be temporarily assigned to one or more of the four Teams. These teams include Standards & Modularity, Design Engineering, Advanced Engineering, and/or Manufacturing & Industrial Engineering.

Core Responsibilities - All Levels:

  • Design, develop, and support mechanical systems for Nomad vehicles and platforms.
  • Ensure designs comply with applicable codes, safety standards, and customer requirements.
  • Support manufacturing by answering technical questions, resolving build issues, and improving design clarity.
  • Participate in design reviews, testing, validation, and root cause analysis.
  • Collaborate cross-functionally with other Engineering disciplines, Production, Quality, and Project Management teams.
  • Apply continuous improvement principles to improve product quality, reliability, and manufacturability.
  • Uphold and model Nomad Core Values in all work.
  • Create CAD documentation for projects, including top levels assemblies, sub-assemblies, and parts.
  • Use FEA to analyze designs: determine stress, create tests to verify results, document analysis, and change designs as needed to optimize.
  • Create, implement, supervise, and document tests verifying designs meet customer requirements.
  • Complete all analyses, documentation, and drawings required for Production within established time frames as agreed upon by the Operations Team.
  • Communicate with vendors and clients to troubleshoot designs, get information on new designs, and obtain specifications/drawings/models of components.
  • Track and record work hours for each specific project daily.
  • Be willing to travel as needed by Management.
  • Perform additional duties as assigned.

Mechanical Engineer IV - Senior Technical Lead

  • Own mechanical system architecture across multiple product lines or platforms.
  • Set design standards, guidelines, and best practices for the organization.
  • Experience defining system architectures reused across multiple products or programs.
  • Lead high-risk or highly complex engineering efforts from concept through production.
  • Deep familiarity with compliance, certification, and safety-critical design processes.
  • Ownership of technical decision-making where failure would have significant cost or safety impact.
  • Experience balancing competing constraints (schedule, cost, performance, manufacturability).
  • Drive design decisions impacting safety, reliability, compliance, and scalability.
  • Serve as a primary technical authority for mechanical systems at Nomad GCS.
  • Coach and mentor engineers across all levels.
  • Influence engineering strategy, tooling, and long-term technical direction.
  • Recognized internally as a go-to expert for complex engineering challenges.
  • Demonstrated technical mastery.
  • BS in Mechanical Engineering or related field
  • 8-12+ years advanced Mechanical Engineering experience.

Progression signal: Others rely on this engineer's judgment to make irreversible or high-impact decisions.


Qualifications:

  • BS in Mechanical Engineering or related field
  • 8-12+ years advanced Mechanical Engineering experience.\
  • Must have CAD experience. SolidWorks preferred.

Physical Demands:

  • Ability to stand and sit for extended periods.
  • Manual dexterity to operate office equipment.
  • Occasionally lift and/or move up to 20 pounds.
  • Occasional climbing or hands-on testing activities.
  • Ability to work in office, shop, and vehicle environments as needed.
  • Ability to work safely around energized systems when required.
  • Must be able to travel as needed on occasion.

Working Environment:

  • Combination of office, production floor, and vehicle-based environments.
  • Exposure to manufacturing noise, electrical/ manufacturing equipment, and testing environments.
  • PPE required when entering production or testing areas.


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