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

onX

Staff Data Engineer

Bozeman, MT · On-site

This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering ...

onX

Staff Data Engineer

Bozeman, MT

This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering ...

Phix

Senior Photonics Packaging Engineer

Bozeman, MT · On-site

$106K - $146K/yr

As a Senior Photonics Engineer specializing in Photonic IC Packaging, you are a technical leader responsible for designing, developing, and scaling advanced photonic packaging solutions. You drive ...

ESP Associates

Lead Engineer, Transmission Lines

Bozeman, MT · On-site

$111K - $146K/yr

As a Lead Engineer , you will provide leadership and senior-level engineering/technical expertise on complex electric transmission design projects for high-voltage (HV) and extra high-voltage (EHV ...

Benelynk

Sr. Software Engineer

Bozeman, MT · Remote

$150K - $175K/yr

SENIOR SOFTWARE ENGINEER POSITION SUMMARY We are seeking a Sr. Software Engineer and or Jr. Platform Architect to serve as technical lead responsible for day-to-day development, design, build, and ...

Globality, Inc.

Sr. Software Engineer

Bozeman, MT · On-site

$150K - $220K/yr

The Role We are looking for a Sr. Software Engineer to join the Engineering team. You will design and build the user-facing interfaces that enterprise procurement leaders, category managers, and ...

New

PFL Tech. Inc

Software Engineer

$90K - $100K/yr

Able to build and foster a healthy and mutually constructive relationship with business representatives, product owners, UX designers and other software developers. Pay Range: $90,000 - $100,000 USD ...

New

Ranch and Home Supply, LLC

Data Analytics Engineer

Bozeman, MT · On-site

$123K - $148K/yr

As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Your expertise ...

onX

Senior Software Engineer - Map Viewer

Bozeman, MT

$125K - $164K/yr

This role will report to the team's Engineering Manager. WHAT YOU'LL DO Essential Job Duties & Functions CI/CD & SDK Delivery Pipeline [Primary] Build and maintain the build, test, and release ...

onX

Senior Software Engineer - Map Viewer

Bozeman, MT · On-site

$125K - $164K/yr

This role will report to the team's Engineering Manager. WHAT YOU'LL DO Essential Job Duties & Functions CI/CD & SDK Delivery Pipeline [Primary] Build and maintain the build, test, and release ...

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

Machine Learning Engineer information

See Bozeman, MT salary details

$34.1K

$139.4K

$209.5K

How much do machine learning engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning engineer in Bozeman, MT is $139,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $167,800.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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
What are the most commonly searched types of Machine Learning Engineer jobs in Bozeman, MT? The most popular types of Machine Learning Engineer jobs in Bozeman, MT are:
What are popular job titles related to Machine Learning Engineer jobs in Bozeman, MT? For Machine Learning Engineer jobs in Bozeman, MT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Bozeman, MT look for? The top searched job categories for Machine Learning Engineer jobs in Bozeman, MT are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bozeman, MT as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $139,395 per year, or $67 per hour.
Senior Highway Engineer

Senior Highway Engineer

Robert Peccia & Associates

Bozeman, MT • On-site

$95K - $120K/yr

Full-time

Retirement

Posted 13 days ago

Job description

Senior Highway Engineer
  • Streets & Highways Group
  • All Office Locations
  • $95,000 - $120,000 (base salary)
  • Regular Full-Time

Robert Peccia & Associates (RPA) is excited to offer a dynamic opportunity for a Senior Highway Engineer within our Streets and Highways Group. In this role, you will provide design leadership and technical support on roadway and transportation infrastructure projects across the northwest, contributing your expertise to one of the region’s top-ranked transportation teams. We are seeking an innovative, self-motivated, and team-oriented leader with a passion for transportation infrastructure, a comprehensive range of roadway design experience, and strong leadership skills.

This role offers significant growth opportunities, including career advancement and leadership pathways within RPA.

As a Senior Highway Designer, you will work with a team of engineers on diverse transportation design projects, from rural highways to complex urban interchanges. Responsibilities include:

  • Design Leadership: Serve as the discipline lead for roadway design on projects of varying complexity and scope.
  • Project Management: Plan, manage, and oversee all aspects of small- to medium-sized projects, ensuring high-quality deliverables on time and within budget.
  • Collaboration: Act as a team leader for complex, multi-disciplinary projects, coordinating with engineers, clients, and agencies.
  • Client Engagement: Build and maintain strong relationships with clients and agencies through proactive communication and exceptional service.
  • Mentorship: Guide and develop junior engineers, fostering technical and professional growth within the team.
  • Documentation & Analysis: Prepare written reports, calculations, and comprehensive design documentation.

Requirements

We are looking for a highly skilled professional who combines strong technical knowledge in highway design with leadership abilities and a commitment to teamwork. The ideal candidate will meet the following qualifications:

  • Education and Certification: Bachelor’s degree in Civil Engineering (or related field) with a Professional Engineering (PE) license in Montana, or ability to obtain within six months.
  • Experience: 6+ years of progressive experience in roadway design. Prior design experience with projects for the Montana Department of Transportation (MDT) or Federal Highway Administration (FHWA) is highly desirable.
  • Technical Proficiency: Advanced skills in roadway design software including Civil3D, MicroStation, and GEOPAK.
  • Personal Attributes: Detail-oriented, self-motivated, and able to manage multiple deadlines effectively. Strong interpersonal skills, common sense, and a solutions-oriented approach are essential for success in this role.

Benefits

About RPA

Robert Peccia & Associates (RPA) is a distinguished, 100% employee-owned civil engineering, planning, and land surveying firm headquartered in Montana. Established in 1978, we are renowned for our personalized service and commitment to designing practical and sustainable solutions for our clients.

We champion an open leadership style based on mutual trust, empowering our team members to influence the future of RPA. Our commitment to a collaborative culture has fostered consistent growth and one of the lowest staff turnover rates in the industry. At RPA, our core values—listening, respect, integrity, empowerment, teamwork, and social responsibility—drive our success and shape our dynamic work environment.

Company Culture and Benefits

At RPA, our employee-owners are the cornerstone of our success. That is why we invest in you, your professional development, your community, and your future, celebrating both your work achievements and personal milestones. Our comprehensive benefits package includes:

  • Generous Retirement Plan: RPA contributes to your retirement future, with no match required, starting on day one.
  • 100% Employee Owned: Our Employee Stock Ownership Program (ESOP) provides you with direct ownership in the company, aligning your success with ours.
  • Competitive Salary and Bonuses: Enjoy a rewarding compensation structure including competitive base salary and company-wide bonus program.
  • Flexible Work Environment: We support work-life balance with excellent leave policies, flexible schedules, and paid time over 40 hours per week.
  • Professional Growth: We support and encourage professional development and involvement in civic/professional organizations and provide ample opportunity for career growth within RPA.

Additional details about our benefits can be found on our RPA Advantage Page.