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Machine Learning Jobs in Montana (NOW HIRING)

Lawyer - Remote

Billings, MT · Remote

$100 - $150/hr

Develop case strategies and motion practice templates that inform machine learning models in legal contexts. * Continuously review and refine rubric criteria to align with evolving legal standards ...

Attorney - Remote

Billings, MT · Remote

$100 - $150/hr

Develop case strategies and motion practice templates that inform machine learning models in legal contexts. * Continuously review and refine rubric criteria to align with evolving legal standards ...

Law Professor - Remote

Billings, MT · Remote

$100 - $150/hr

Develop case strategies and motion practice templates that inform machine learning models in legal contexts. * Continuously review and refine rubric criteria to align with evolving legal standards ...

Stay current on advancements in AI, computer vision, and machine learning, and translate emerging capabilities into actionable product opportunities. Requirements: * Bachelor's degree in computer ...

Qualifications · Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. · 7-10+ years of experience in AI engineering, machine learning ...

Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks. * Experience with modern AI ...

Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks. * Experience with modern AI ...

... machine learning, and translate emerging capabilities into actionable product opportunities. Qualifications : Required : • Bachelor's degree in computer science, engineering, data science, or a ...

Senior AI Product Manager

Bozeman, MT · On-site +1

$136K - $180K/yr

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this ...

Senior Director, Product Content Operations

Missoula, MT · On-site

$125K - $165K/yr

Understand leveraging AI and machine learning tools to improve efficiency, data quality, and operational scalability. Enable new product experiences through content * Collaborate with Product and ...

Stay current on advancements in AI, computer vision, and machine learning, and translate emerging capabilities into actionable product opportunities. Requirements: * Bachelor's degree in computer ...

Stay current on advancements in AI, computer vision, and machine learning, and translate emerging capabilities into actionable product opportunities. Requirements: * Bachelor's degree in computer ...

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Machine Learning information

See Montana salary details

$23.4K

$39.1K

$80.8K

How much do machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning in Montana is $39,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 per year, depending on experience, location, and employer.

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 engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

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-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Montana? The most popular types of Machine Learning jobs in Montana are:
What are popular job titles related to Machine Learning jobs in Montana? For Machine Learning jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Montana look for? The top searched job categories for Machine Learning jobs in Montana are:
What cities in Montana are hiring for Machine Learning jobs? Cities in Montana with the most Machine Learning job openings:
Corporate Attorney - AI Reviewer - Remote

Corporate Attorney - AI Reviewer - Remote

micro1 AI

Billings, MT • Remote

$100 - $150/hr

Part-time

Posted 20 days ago


Job description

Job Title: Attorney

Job Type: Contract

Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Key Responsibilities

  1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
  2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
  3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
  4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
  5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
  6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
  7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.


Required Skills and Qualifications

  1. Juris Doctor (JD) degree and active bar membership.
  2. Active bar admission in at least one U.S. jurisdiction
  3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
  4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
  5. Demonstrated expertise in case strategy development and motion practice.
  6. Proven ability to manage discovery processes and oversee complex legal document review projects.
  7. Outstanding written and verbal communication skills, with meticulous attention to detail.
  8. Technological acumen and comfort working in remote, digital-first environments.


Preferred Qualifications

  1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.