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Senior Machine Learning Software Engineer Jobs in Salt Lake City, UT

NICE Systems

Senior Machine Learning Engineer

Sandy, UT · On-site

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 ...

New

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 ... NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 ...

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/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 ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · Hybrid

$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.

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 ... Qualifications: * 6+ years of professional software development experience, with a focus on Python.

Socket.dev

Machine Learning Engineer II

Salt Lake City, UT · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Summary As a Machine Learning Engineer II, you will lead the productization of AI/ML research ... Document system architecture, software design decisions, and operational runbooks to ensure ...

Pattern

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

Pattern

Senior Software Engineer, Predict

Lehi, UT · Hybrid

$115K - $151K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

Pattern

Senior Software Engineer, Predict

Lehi, UT · On-site

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are seeking a Senior Software Engineer to primarily focus on back-end development, contributing ...

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Showing results 1-20

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Salt Lake City, UT

Senior Machine Learning Software Engineer information

See Salt Lake City, UT salary details

$73.1K

$138.7K

$185.8K

How much do senior machine learning software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for senior machine learning software engineer in Salt Lake City, UT is $138,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $156,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Salt Lake City, UT?

For Senior Machine Learning Software Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Software Engineer jobs in Salt Lake City, UT look for?

The top searched job categories for Senior Machine Learning Software Engineer jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Senior Machine Learning Software Engineer jobs?

Cities near Salt Lake City, UT with the most Senior Machine Learning Software Engineer job openings:

Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $138,665 per year, or $66.7 per hour.

Senior Machine Learning Engineer

NICE Systems

Sandy, UT • On-site

$99K - $136K/yr

Other

Posted 2 days ago

New

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 Google Cloud Platform).
  • 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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