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Machine Learning Software Engineer Intern Jobs in Utah

Senior Machine Learning Engineer

Lehi, UT ยท On-site +1

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Senior Machine Learning Engineer

Lehi, UT ยท On-site

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Senior Machine Learning Engineer

Lehi, UT ยท On-site +1

$144K - $233K/yr

Minimum Qualifications * 5+ years of software engineering or machine learning engineering experience. * Hands-on experience fine-tuning, adapting, or deploying large language models. * Strong ...

Senior Engineer - Machine Learning

Midvale, UT ยท On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Qualifications: * 6+ years of professional software development experience, with a focus on Python.

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Passion for writing software and learning the latest software development techniques * Excellent ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Passion for writing software and learning the latest software development techniques * Excellent ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Passion for writing software and learning the latest software development techniques * Excellent ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Passion for writing software and learning the latest software development techniques * Excellent ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Passion for writing software and learning the latest software development techniques * Excellent ...

Showing results 21-40

Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Utah?

The most popular types of Machine Learning Software Engineer jobs in Utah are:

What cities in Utah are hiring for Machine Learning Software Engineer Intern jobs?

Cities in Utah with the most Machine Learning Software Engineer Intern job openings:

Senior Machine Learning Engineer

South Jordan, UT โ€ข On-site

Limelight Health
51 - 200 employees

$99K - $136K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Location

Tysons Corner, VA; South Jordan, UT

Employment Type

Full time

Department

Technology

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cuttingโ€‘edge AI and proprietary methodologies, we transform openโ€‘source data into actionable insights that help protect technology, talent, and supply chains from nationโ€‘state risks.

Weโ€™re looking for a Senior Machine Learning Engineer to help Strider unlock value from largeโ€‘scale document collections. In this role, youโ€™ll build productionโ€‘ready AI/ML systems for document classification, prioritization, and other documentโ€‘processing workflows. Your work will directly support the development of scalable intelligence products that help users find meaningful signals in complex, highโ€‘volume data.

Youโ€™ll work with realโ€‘world data and collaborate closely with intelligence and engineering teams to turn complex multilingual information into actionable insights. This role is a strong fit for someone who enjoys technical ownership, builds maintainable systems, and excels at translating ambiguity into measurable product impact.

You will:
  • Design, build, and maintain scalable machine learning solutions, typically focused on document classification tasks using AI/ML models.
  • Work across the full engineering lifecycle from exploratory analysis and prototype development through production deployment, monitoring, iteration, and operational ownership.
  • Take models from R&D into production and deploy them using AWS cloud services.
  • Ensure the reliability and performance of machine learning applications by carrying out continuous testing and optimization.
  • Use AI coding tools such as Cursor and Claude to improve development velocity while maintaining high standards for code quality, reliability, and maintainability.
  • Participate in design reviews, code reviews, and team discussions, providing technical leadership and insight.
What you need to be successful:
  • Bachelorโ€™s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in Machine Learning or AI.
  • Strong Python skills and sound software engineering judgment, with the ability to write maintainable, productionโ€‘oriented code.
  • Experience working with large, complex datasets to assess quality, coverage, value, and tradeoffs.
  • Experience deploying and operating ML or dataโ€‘processing pipelines in production environments using AWS.
  • Strong understanding of NLP techniques such as tokenization, entity extraction, disambiguation, and language models.
  • Strong communication skills, with the ability to explain complex technical concepts to engineering partners, product stakeholders, and leadership.
  • Selfโ€‘motivated, pragmatic, and impactโ€‘oriented, with strong problemโ€‘solving skills and attention to detail.
Nice-to-haves:
  • Strong AWS skills.
  • Experience with Elasticsearch.
  • Experience working with NLP in foreign (nonโ€‘English) languages.
  • Familiarity with MLOps tools and practices.
  • Experience with PyTorch or Scikitโ€‘Learn.
  • Masterโ€™s degree or PhD in Computer Science, Engineering, or related field.
Benefits:
  • Competitive Compensation
  • Company Equity Options
  • Flexible PTO
  • Wellness Reimbursement
  • US Holidays (office closed)
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Insurance
  • 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

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