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Deep Learning Ai Jobs in Utah (NOW HIRING)

Lucid Software

Product Manager, AI

Salt Lake City, UT · On-site +1

Develop deep customer expertise by understanding how people think, collaborate, and solve problems ... learning, AI iteration, and derisking non-deterministic features * Experience with visual ...

Cisco

Applied AI Scientist

Salt Lake City, UT · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...

Cisco

Applied AI Scientist

Lehi, UT · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...

Pwc

AI Engineer

Salt Lake City, UT

$50K - $112K/yr

... 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 ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Strong proficiency with Python and PyTorch or similar deep learning frameworks. * Experience ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Strong proficiency with Python and PyTorch or similar deep learning frameworks. * Experience ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Strong proficiency with Python and PyTorch or similar deep learning frameworks. * Experience ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

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All JobsDeep Learning Ai JobsDeep Learning Ai Jobs in Utah

Deep Learning Ai information

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are popular job titles related to Deep Learning Ai jobs in Utah?

For Deep Learning Ai jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Deep Learning Ai jobs in Utah look for?

The top searched job categories for Deep Learning Ai jobs in Utah are:

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

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

Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Product Manager, AI

Lucid Software

Salt Lake City, UT • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

We are looking for a Product Manager to help us take our products to the next level by leveraging cutting-edge Artificial Intelligence. Are you a natural leader and a great teammate? Do you have a passion for elegant solutions, user experiences, and the massive potential of Generative AI? Are you drawn to work that is different every single day? If this is you, let's talk!

This PM will join a team focused on innovation and new product discovery, particularly in the area of emerging technology and AI. You will be joining a vibrant team of PM's that work on a variety of projects including bringing Lucid's Collaborative AI products, agentic workflows, and canvas-native generative features to market; rapid prototyping and derisking for new, visual-first experiences; and continuing to build out the underlying innovative technical AI platform that makes it all possible. On that team, you'll lead our AI platform and evaluation in partnership with our AI leadership group.

Responsibilities:
  • Partner with product teams to identify, test, and de-risk new AI capabilities, rapidly validating customer value through prototypes, experiments, and iterative learning.
  • Help shape how Lucid builds AI products by improving our product development process, evaluation strategy, and experimentation practices to support fast, high-confidence decision making.
  • Stay at the forefront of modern AI, agentic systems, and developer tooling, bringing new technologies and approaches into product strategy where they create meaningful customer value.
  • Develop deep customer expertise by understanding how people think, collaborate, and solve problems visually, then translate those insights into AI experiences that feel natural, useful, and trustworthy.
  • Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering, Design, Data Science, and Product teams to deliver scalable foundations that enable innovation across the organization.
Requirements:
  • 4+ years of product management experience building successful B2B SaaS products, with a track record of leading complex, cross-functional initiatives from concept through launch.
  • Experience bringing agentic AI products and capabilities to market, operating in fast-moving, ambiguous environments where customer needs, models, and technology evolve rapidly.
  • Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and cost.
  • Exceptional product judgment, with the ability to identify emerging technology opportunities, prioritize customer problems, and influence technical and business stakeholders across the organization.
  • Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and Go-to-Market teams to deliver high-impact customer experiences.
Preferred Qualifications:
  • Direct experience leading innovation or new product discovery teams, especially in the areas of rapid learning, AI iteration, and derisking non-deterministic features
  • Experience with visual collaboration, spatial computing, or digital whiteboarding platforms
  • Experience mentoring other PMs on AI product lifecycle best practices


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