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Deep Learning Engineer Jobs in Utah (NOW HIRING)

Faculty Lead & Learning Engineer - Sciences

Lehi, UT · On-site

$96K - $126K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the ... Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled ...

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 ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...

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 ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...

Machine Learning Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Cedar City, UT · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Director of Engineering

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity. * Partner with Product ...

Head of Academics and Learning Engineering

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Deep academic expertise in pedagogy and learning design * Vision for how undergraduate learning ... Collaborate with product and engineering teams to design AI-enhanced, technology-enabled learning ...

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and ...

Platform Engineer Machine Learning (Utah)

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that ... performs deep analysis to extract machine consumable meaning from unstructured clinical ...

Platform Engineer Machine Learning (Utah)

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that ... performs deep analysis to extract machine consumable meaning from unstructured clinical ...

CTIO - AI Engineer- Senior Manager

Salt Lake City, UT

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... learning and deep learning techniques effectively - Excelling in complex data analysis and ...

New

Extractive Metallurgist

Moab, UT · On-site

$80K - $90K/yr

We're reimagining the minerals supply chain by combining deep industry expertise with advanced ... You'll work closely with operations, engineers, machine learning experts, and data scientists to ...

New

Showing results 21-40

Deep Learning Engineer information

See Utah salary details

$34.6K

$105.5K

$174.3K

How much do deep learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for deep learning engineer in Utah is $105,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $137,900.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

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

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

What cities in Utah are hiring for Deep Learning Engineer jobs?

Cities in Utah with the most Deep Learning Engineer job openings:

Infographic showing various Deep Learning Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $105,480 per year, or $50.7 per hour.

Faculty Lead & Learning Engineer - Sciences

Outsmart

Lehi, UT • On-site

$96K - $126K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago


Job description

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1-5 million weekly organic views on social media.
About the role
The Faculty Lead & Learning Engineer - Sciences is Outsmart's designated faculty member for undergraduate science-owning course design, development, and quality-across biology, chemistry, physics, geology, etc. (intro through advanced topics). You'll craft an engaging, rigorous, and fun science learning experience for students while setting the standard for science teaching in the AI era.
You'll bring the depth of an academic and the instincts of a builder. That means leveraging AI and modern tooling to design high-quality curriculum, virtual labs, and assessments at scale - and collaborating closely with learning designers, product, and engineering to bring it to fruition.
Location: Los Angeles, CA, San Francisco, CA, or Lehi, UT
Reporting: Works in close partnership with the Head of Academics & Learning Engineering and university academic leadership.
Qualities We're Seeking
  • Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the broader science portfolio
  • Mastery of pedagogy, learning design, and assessment - and enthusiasm for AI-enabled teaching and learning
  • Builder mindset: resourceful, high energy, accountable, mission driven, student-obsessed; thrives in early-stage environments
  • Clear, direct communicator who collaborates well with designers, engineers, and product

What you'll do
  • Own the science curriculum: Design and develop courses across biology, chemistry, physics, and geology (intro → advanced) with clear learning outcomes and mastery-based progress
  • Design assessments (formative & summative)
  • Leverage AI & tooling to create interactive content (e.g., a virtual science lab) that improves engagement and efficacy
  • Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled science experiences (simulations, visualizations, notebooks)
  • Support accreditation & quality: Align syllabi, policies, credit hours, and outcomes with institutional standards; contribute evidence for reviews and continuous improvement

Qualifications
  • Degree in a core science field (e.g., Biology, Chemistry, Physics, Geology) or Science Education; PhD or EdD preferred
  • 3+ years teaching or leading curriculum in undergraduate science (online or hybrid experience a plus)
  • Proven fluency with education technology and AI
  • Track record of cross-functional collaboration with designers/engineers and shipping learner-centric features

Perks
  • Competitive salary, equity, and benefits
  • Healthcare for you and your dependents (medical, dental, and vision)
  • Parental leave for any full-time employee (birthing, non-birthing, and adoptive parents)
  • 15 PTO days per year, a winter break, and 12+ paid company holidays per year
  • Remote work days
  • Lunch provided in-office daily
  • Working with super talented people who want to make a difference in the world

Outsmart is committed to building an equitable and inclusive workplace and is proud to be an equal opportunity employer. We consider all qualified applicants for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by applicable law.