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Internship Machine Learning Engineer Jobs in Utah

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates.

Varsity Tutors

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Patientco

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Crew Career Center

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Utah

Internship Machine Learning Engineer information

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

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

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

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

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

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

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

Internship Machine Learning Engineer jobs near you

Senior Engineer - Machine Learning

Berkadia

Midvale, UT • On-site

$98K - $135K/yr

Full-time

Posted 9 days ago

Job description

Are you looking for an opportunity to bring your unique skills and experiences to a leading commercial loan servicer?
As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting-edge machine learning and generative AI to redefine how the commercial real estate industry operates. Berkadia now has a dedicated machine learning team and an established generative AI system - Berkie - which is transforming the way Berkadians work. In this role, you will contribute directly to expanding and improving Berkie, building on top of proprietary company data to create intelligent systems that drive operational efficiency, enhance workflows, and generate revenue.
You will work closely with product, engineering, architecture, and data teams to design, implement, and scale AI systems - ranging from predictive modeling and traditional machine learning pipelines to agentic systems, intelligent document processing, and generative AI applications. This is a high-impact position for someone passionate about applying AI to real-world problems, who thrives in a collaborative environment and stays ahead in a fast-moving field.
Join Berkadia's loan servicing platform and learn from the best of the best at the largest U.S. non-bank commercial mortgage servicer in the industry. We provide the personal and professional development opportunities you need to impact the commercial real estate industry, build a career that takes the long view, and reach your full potential. Be Your Best Self. Be Berkadia.
We are committed to growing your career, so in this role you will:
Responsibilities:
  • Design, implement, and maintain production-ready machine learning systems using both generative and traditional techniques.
  • Architect end-to-end AI solutions for use cases such as intelligent document processing, agentic systems, and information retrieval.
  • Drive the continued development of Berkie, Berkadia's generative AI platform, ensuring it delivers meaningful access to proprietary data and supports efficiency and growth across the business.
  • Collaborate with cross-functional teams - including product, engineering, and data - to identify impactful problems and translate them into scalable AI solutions.
  • Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks as needed for experimentation and rapid iteration.
  • Establish and contribute to best practices in MLOps, including model deployment, monitoring, observability, and continuous improvement.
  • Participate in peer reviews, design discussions, and team learning sessions to foster transparency and knowledge-sharing.
  • Document system designs, decisions, and outcomes to improve clarity and reproducibility across the team.
  • Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are essential to success in this role.
  • Take initiative, share wins, and work with purpose - we value engineers who care deeply about their craft and their impact on others.

We are passionate about your growth, so to achieve success in this role you should have:
Qualifications:
  • 6+ years of professional software development experience, with a focus on Python.
  • Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering).
  • Required experience designing and building AI agents, including tool use, orchestration, memory/context management, and workflow automation.
  • Required experience building AI evaluation harnesses to test, measure, monitor, and improve agent and LLM application quality.
  • Familiarity with cloud infrastructure and MLOps practices (deployment, monitoring, observability).
  • Experience working with unstructured and semi-structured data, including transforming it into structured formats via machine learning.
  • React frontend development skills/Javascript are a plus.
  • Experience with Agile methodologies and CI/CD practices.
  • Bachelor's degree in Computer Science or another STEM field with heavy analytics focus preferred

We believe People Matter, so we offer benefits that go beyond:
  • Monthly paid volunteer hours and donation matching to benefit our communities
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning services
  • Up to 12-weeks of fully paid parental leave
  • Mental health care, including free counseling sessions:
  • We'll help you fund your learning journey with generous tuition reimbursement
  • Pet insurance discounts
  • And more!

Be Your Best Self. Be Berkadia.
#LI-HG1 #LI-HYBRID
Berkadia, as an equal opportunity employer, celebrates our employees' unique differences, which we believe drives personal and company-wide innovation and creates a people-first culture where your career can take the long view. To achieve these goals, we are committed to the full inclusion of all qualified individuals, without regard to race, religion, age, color, national origin, gender, sexual orientation, gender identity or expression, marital status, domestic partner status, military and veteran status, disability, pregnancy, parental status, genetic information, political affiliation, or any other status protected by federal, state and local laws.
In keeping with our commitment, Berkadia takes the necessary steps to provide a workplace free from harassment and discrimination, as well as access and reasonable accommodations for individuals with disabilities. If you require reasonable accommodation to take part in the interview process, please contact talentacquisition@berkadia.com.
You have rights under Federal and State employment laws. No question in this Application is intended to elicit information in violation of any such law, nor will any information obtained in response to any question be used in violation of any such law. If you apply for this role, you are acknowledging Berkadia's Application Policy and Berkadia's Privacy Policy. Please click the following links for more information about: EEOC, Employee Rights under the FMLA, EPPA.

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