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Artificial Intelligence Machine Learning Engineer Jobs in Lehi, UT

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Patientco

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. * 3+ years of professional experience in Machine Learning Engineering ...

Epicor

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Experience building or managing artificial intelligence, machine learning, generative AI, large ... Experience scaling engineering teams and delivering highly available enterprise platforms #LI ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Lehi, UT

Artificial Intelligence Machine Learning Engineer information

See Lehi, UT salary details

$29.6K

$120.9K

$181.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence machine learning engineer in Lehi, UT is $120,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Lehi, UT? For Artificial Intelligence Machine Learning Engineer jobs in Lehi, UT, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Lehi, UT look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Lehi, UT are:
What cities near Lehi, UT are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Lehi, UT with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 29% Part Time, 1% Temporary, and 12% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,876 per year, or $58.1 per hour.

Senior Machine Learning Engineer

NICE

Sandy, UT • On-site

$113K - $150K/yr

Full-time

Posted 26 days ago

Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what's the role all about?
NiCE is looking for a Senior Machine Learning Engineer to join NiCE Labs Research (NLR), a team dedicated to model expertise and agent architecture for the Cognigy platform. As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of languages.
This role is primarily concerned with rigorous measurement: designing test suites, running comparative evaluations, and producing actionable recommendations on model selection and configuration.
The Senior Machine Learning Engineer monitors the rapidly evolving speech AI landscape to identify state-of-the-art transcription and speech-to-speech models for evaluation. You will design and maintain a speech-oriented test suite that covers quality, cost, and latency, and develop techniques to optimize model usage for operational deployment.
This role requires deep expertise in speech AI systems, strong quantitative skills, and the discipline to produce reliable, reproducible evaluation results.
How will you make an impact?
  • Design and maintain a speech-oriented test suite covering quality, cost, and latency across dozens of languages.
  • Monitor the industry for new state-of-the-art transcription and speech-to-speech models to evaluate.
  • Design and evaluate techniques to optimize speech model usage for operational deployment.
  • Produce clear, quantitative evaluation reports and model recommendations for technical and non-technical stakeholders.
  • Contribute to the broader model evaluation framework maintained by the NLR team.
  • Stay informed of advances in speech AI, including transcription, text-to-speech, and speech-to-speech technologies.

Have you got what it takes?
  • MS in computer science, electrical engineering, computational linguistics, or a related field with a focus on speech or audio processing.
  • Three or more years of hands-on experience with speech AI systems, including ASR, TTS, or speech-to-speech models.
  • Experience designing evaluation methodologies or test suites for AI systems.
  • Strong quantitative and analytical skills, with experience producing rigorous benchmark results.
  • LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio, distillation), experience with at least one open-source TTS family
  • GPU cost modeling
  • Proficiency in Python and familiarity with speech processing libraries and tools.
  • Experience with cloud-based infrastructure (AWS, Azure, or GCP).
  • Ability to develop and maintain good working relationships with cross-functional teams.
  • Ability to clearly communicate and present to internal and external stakeholders.

You will have an advantage if you have:
  • Experience evaluating speech models across multiple languages.
  • Familiarity with multi-cloud deployment across AWS, Azure, and Google Cloud.
  • Experience with model optimization techniques for speech systems, such as latency reduction or cost optimization.
  • Exposure to contact center or conversational AI platforms.
  • Experience working on international, globe-spanning teams.

What's in it for you?
Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 11422
Reporting into: Director, Engineering, AI Research, NiCE Labs
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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