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Machine Learning Engineer Jobs in Bozeman, MT (NOW HIRING)

AURORA

Senior NPI Engineer

Bozeman, MT · On-site

$106K - $146K/yr

The NPI Engineer is responsible for shepherding hardware from concept review to low-volume ... Proficient in SPC, 6 sigma, quality control process; good understanding of machine and process ...

Aurora Operations, Inc

Senior NPI Engineer

Bozeman, MT · On-site

$106K - $146K/yr

The NPI Engineer is responsible for shepherding hardware from concept review to low-volume ... Proficient in SPC, 6 sigma, quality control process; good understanding of machine and process ...

McKinstry

Lead Commissioning Engineer

Bozeman, MT · On-site

$102K - $154K/yr

We are currently seeking a Lead Commissioning Engineer to join ourgrowing Technical Services team ... Learning and advancement opportunities via McKinstry University * McKinstry Moves onsite gyms or ...

McKinstry

Lead Commissioning Engineer

Bozeman, MT · On-site

$102K - $154K/yr

We are currently seeking a Lead Commissioning Engineer to join ourgrowing Technical Services team ... Learning and advancement opportunities via McKinstry University * McKinstry Moves onsite gyms or ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Bozeman, MT

Machine Learning Engineer information

See Bozeman, MT salary details

$32.1K

$131.4K

$197.5K

How much do machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer in Bozeman, MT is $131,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $158,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bozeman, MT as of September 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $131,409 per year, or $63.2 per hour.

Robotic Welding Applications Engineer

Belgrade, MT • On-site

X-Series Inc
See more jobs at X-Series Incexternal

$55K - $95K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago

Job description


Applications Engineer I
Location:Bozeman, MT
Job Type:Full-Time / Travel Required
Department:Engineering
Reports To:Engineering Manager
About X-Series USA:
At X-Series USA, we design and build advanced industrial machinery, including fiber laser CNC systems, robotic welding automation, and custom manufacturing solutions. From our headquarters in Bozeman, Montana, we focus on R&D and V1 manufacturing and assembly processes to deliver solutions to manufacturers across North America with rugged, reliable, and innovative equipment built to perform.
Position Overview:
We are seeking a hands-on Applications Engineer who will grow into a subject-matter expert on our BeamWELD robotic welding system for structural steel and general fabrication work.
This position is ideal for someone with practical welding experience who wants to expand into automation, field commissioning, customer-facing applications work, and long-term ownership of a complex machine platform. You do not need to be a robotics expert on day one; a solid welding foundation, strong mechanical aptitude, and a willingness to learn are the most important requirements.
Key Responsibilities:
Product & Process Learning
  • Develop a thorough understanding of the BeamWELD system, including its welding capabilities, safety features, basic programming, and daily operation.
  • Become a primary internal resource for running typical BeamWELD jobs and basic troubleshooting.

Welding & Procedure Support
  • Set up and run weld trials on structural and fabricated components such as beams, columns, frames, brackets, stiffeners, and plate weldments.
  • Assist in developing and refining welding parameters to achieve consistent quality and productivity.
  • Support the creation and maintenance of Procedure Qualification Records (PQRs) and Welding Procedure Specifications (WPSs) under the guidance of senior staff.

Commissioning & Installation Support
  • Install and commission new BeamWELD systems at customer facilities, coordinating with the X-Series engineering and service teams as needed.
  • Perform and document system calibration, basic functional tests, and initial weld trials.
  • Work alongside senior engineers to help identify and resolve issues related to the welding process, basic machine hardware, safety devices, and configuration.
  • Provide remote support to customers by reviewing photos, videos, weld parameters, and error descriptions to help diagnose and resolve issues.
  • When needed, support on-site service visits for more complex problems, in coordination with the service and engineering teams.
  • Log, track, and follow up on customer issues to ensure they are resolved and that lessons learned are communicated internally.

Customer Training & Demonstrations
  • Support training of customer welders and operators on machine operation, weld setup, and routine maintenance.
  • Assist with in-house and on-site demonstrations for prospects and customers.

Feedback & Continuous Improvement
  • Communicate observations from shop and field use back to engineering and management, including opportunities for product, process, and documentation improvements.
  • Contribute to internal guides, parameter charts, and troubleshooting documents as your expertise develops.

Requirements
Qualifications:
  • Hands-on welding experience using processes such as GMAW, FCAW, SMAW, or similar in any of the following environments:
    • Job-shop or custom fabrication
    • Structural or industrial fabrication
    • Equipment repair or maintenance
    • Manufacturing / production welding

You do not need to be a code-certified structural welder, but you must be comfortable striking an arc, adjusting basic parameters, and evaluating basic weld quality.
  • Ability to read and interpret fabrication drawings and weld symbols.
  • Experience tuning welding parameters and troubleshooting common weld defects.
  • Experience working with industrial machinery, fabrication equipment, or automated systems (e.g., CNC machines, robots, production lines, or similar).
  • Comfort working in an industrial environment around machinery and production equipment.
  • Mechanical aptitude and basic diagnostic skills:
    • Comfortable inspecting torches, wire feed systems, gas, coolant, and fixtures
    • Familiar with using hand tools and basic test equipment
  • Tech-savvy and willing to learn:
    • HMI-style interfaces
    • Offline programming/simulation tools
    • Calibration and diagnostic utilities
  • Clear, professional communication skills and the ability to work effectively with welders, supervisors, engineers, and customers.

Nice to Have (Not Required):
  • Experience with robotic welding or other robotic automation in a production environment.
  • Prior exposure to commissioning industrial machinery (machine vision systems, safety circuits, light curtains, etc.).
  • Experience writing or maintaining WPS/PQR documentation to structural welding codes (e.g., AWS D1.1 or similar).
  • AWS CWI or previous CWI experience (not required, but a plus).

Work Environment & Travel
  • Primarily shop and industrial environments, working around large structural components and heavy equipment.
  • Travel to customer sites for installations, training, service work, and demonstrations (frequency to be determined based on business needs).
  • Hands-on role combining welding, machine operation, troubleshooting support, service response, and customer interaction.

Growth Opportunities
This position is designed to grow with the individual. Over time, the successful candidate will have the opportunity to:
  • Drive welding procedure development and qualification for new applications.
  • Work closely with engineering on new features, enhancements, and continuous product improvement.
  • Become a key internal and external resource for BeamWELD applications, supporting operators, service, and engineering teams as the customer base grows.

Benefits
Compensation & Perks:
    • Salary: $55,000-$95,000, depending on experience
    • Paid time off and holidays
    • 401(k) with company match
    • Health Insurance
    • Direct mentorship and skill development
    • Work on real, production-level machinery with immediate impact
    • Enjoy life in Bozeman, Montana-a growing engineering hub with unmatched outdoor access

Apply