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Product Manager Machine Learning Jobs in Utah (NOW HIRING)

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

You will work closely with product, engineering, architecture, and data teams to design, implement ... management, and workflow automation. * Required experience building AI evaluation harnesses to test ...

Bespoke Labs

Machine Learning Engineer

West Jordan, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Ogden, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Logan, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Orem, UT · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ...

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Showing results 21-40

All JobsProduct Machine Learning JobsProduct Manager Machine Learning JobsProduct Manager Machine Learning Jobs in Utah

Product Manager Machine Learning information

See Utah salary details

$46.9K

$145.1K

$179.3K

How much do product manager machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for product manager machine learning in Utah is $145,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $179,300.00 per year, depending on experience, location, and employer.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in Utah?

For Product Manager Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in Utah look for?

The top searched job categories for Product Manager Machine Learning jobs in Utah are:

What cities in Utah are hiring for Product Manager Machine Learning jobs?

Cities in Utah with the most Product Manager Machine Learning job openings:

Product Manager Machine Learning jobs near you
Infographic showing various Product Manager Machine Learning job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $145,118 per year, or $69.8 per hour.

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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