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Machine Learning Engineer Jobs in Bountiful, UT (NOW HIRING)

Smule

Director of Engineering

Salt Lake City, UT · On-site

Drive Smules AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering ...

iNovex Information Systems

Data Scientist 2

Ogden, UT · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

AdvancedMD

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Collaborate with product managers across the portfolio, data scientists, machine learning engineers, software developers, and stakeholders to build scalable AI-driven solutions * Translate business ...

New

AdvancedMD

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Collaborate with product managers across the portfolio, data scientists, machine learning engineers, software developers, and stakeholders to build scalable AI-driven solutions * Translate business ...

New

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

... machine learning and data engineering to develop scalable solutions. - Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team - Be a ...

Mastercard, Inc.

Lead Data Scientist

Salt Lake City, UT · On-site

... machine learning and data engineering to develop scalable solutions. - Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team - Be a ...

PDF Solutions

Senior Layout Extraction Engineer

Midvale, UT · On-site +1

$120K - $160K/yr

The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong ... using Machine Learning / AI (preferred) o Analytical & Problem-Solving Skills · Analysis and ...

Snap Finance

Data Scientist III

West Valley City, UT · On-site

Expertise in one or more modeling/machine learning programming languages such as R or Python. * Strong SQL skills and the ability to extract data from non-relational data sources. * Advanced ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Bountiful, UT

Machine Learning Engineer information

See Bountiful, UT salary details

$29.7K

$121.4K

$182.4K

How much do machine learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer in Bountiful, UT is $121,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,100.00 per year, depending on experience, location, and employer.

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 companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants 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 AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 job categories do people searching Machine Learning Engineer jobs in Bountiful, UT look for? The top searched job categories for Machine Learning Engineer jobs in Bountiful, UT are:
What cities near Bountiful, UT are hiring for Machine Learning Engineer jobs? Cities near Bountiful, UT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Director of Engineering

Director of Engineering

Smule

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted yesterday

Job description

Salary:

Since 2008, Smule has been transforming music from a passive listening experience into a collaborative, social form of creative expression. Our mission is to bring people together through music, empowering anyone, anywhere, to create, share, and connect through song. Today, tens of millions of people use Smule to make music together, creating more than 20 million songs every day. From aspiring singers to lifelong music lovers, our global community comes together to collaborate, discover new talent, and express themselves through music.


At Smule, you'll have the opportunity to build products that inspire creativity, foster meaningful connections, and bring joy to millions of people around the world.


About the Role:

Smule is seeking a Director of Engineering to lead teams building scalable, reliable, and AI-powered consumer experiences for our global community. This leader will play a key role in accelerating Smules transformation into an AI-first engineering organization, driving innovation, technical excellence, and operational performance across critical product and platform initiatives.


The ideal candidate combines strong technical leadership, a passion for emerging AI technologies, and a proven track record of building high-performing teams and consumer products at scale.


This position follows a hybrid work schedule, requiring two days per week in our downtown Salt Lake City office.


What You'll be Doing:

  • Lead engineering teams and managers to deliver product and platform roadmaps with high execution quality, operational reliability, and team performance.
  • Drive Smules AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering workflows.
  • Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity.
  • Partner with Product, Design, Data, Research, and technical leaders on roadmap planning, prioritization, release execution, AI initiatives, platform modernization, and technical debt reduction.
  • Establish and uphold engineering standards for architecture, code quality, testing, security, documentation, observability, and production readiness.
  • Define and track engineering KPIs for delivery velocity, product quality, system reliability, operational health, and team effectiveness.
  • Build and develop high-performing engineering teams through hiring, coaching, performance management, succession planning, and leadership development.
  • Lead operational reviews, incident follow-ups, and continuous improvements to engineering execution, reliability, and readiness.


What We're Looking For:

  • Bachelors degree in Computer Science or a closely related technical field.
  • 8+ years of progressive software engineering experience, including technical leadership and people management responsibilities.
  • 3+ years leading engineering teams, including Software Engineers, Technical Leads, and/or Engineering Managers.
  • Strong AI fluency, including practical experience applying AI-assisted development, automation, machine learning, deep learning, or AI-powered product capabilities.
  • Proven experience building, scaling, and operating high-volume consumer-facing products and services.
  • Strong technical depth in one or more areas such as mobile engineering, backend systems, cloud infrastructure, distributed systems, AI/ML platforms, or platform engineering.
  • Experience driving engineering transformation initiatives, including AI adoption, developer productivity improvements, automation, or platform modernization.
  • Deep understanding of modern software development practices, including agile delivery, CI/CD, testing automation, observability, and operational excellence.
  • Demonstrated ability to balance speed, quality, scalability, reliability, and business priorities.
  • Strong communication, stakeholder management, and cross-functional leadership skills.


Bonus Points For:

  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Experience building AI-powered consumer features, deep learning systems, recommendation systems, personalization platforms, audio/video technology, or creator tools.
  • Experience working with globally distributed engineering organizations.
  • Passion for music, creativity, and social connection.


Why Join Our Team?

  • Flexible time off
  • 12 observed holidays
  • Comprehensive benefits package, including medical, dental, vision, and supplemental insurance, available from your first day of employment at low or no cost to you.
  • Employer-paid life and short-term disability insurance
  • Employer contributions to employee HSA accounts
  • Well-being subscriptions, including Headspace and Wellhub
  • Cell phone and internet reimbursement to support hybrid work
  • Home office stipend to help create your ideal workspace


Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.


We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.