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Deep Learning Engineer Jobs in Utah (NOW HIRING)

Mariana Minerals

Extractive Metallurgist

Moab, UT · On-site

$100K - $160K/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 ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Zions Bancorporation

Applied AI Scientist

Midvale, UT · On-site

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling ... Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Outcode Software

Principal Engineer

Draper, UT

This position requires a Deep expertise in software development methodologies, hands-on experience ... They are responsible for fostering a culture of continuous learning, technical excellence, and ...

JobNimbus

Staff Data Engineer

Lehi, UT · On-site

Deep architecture expertise extending well past writing SQL, including cluster optimization ... Proactive Learning. You stay ahead of the curve, continuously learning and implementing cutting ...

JobNimbus

Staff Data Engineer

Lehi, UT · On-site

Deep architecture expertise extending well past writing SQL, including cluster optimization ... Proactive Learning. You stay ahead of the curve, continuously learning and implementing cutting ...

Outcode Software

Staff Engineer

Draper, UT

This role requires deep technical expertise in software engineering, a strong understanding of ... Provide mentorship to junior engineers and foster a collaborative, learning-focused environment.

JobNimbus

Principal Software Engineer - FinTech

Lehi, UT · On-site

$126K - $169K/yr

Act as a dedicated mentor and sponsor to Staff and Senior engineers, fostering a culture of continuous learning, deep technical curiosity, and extreme ownership. * Leverage AI Acceleration: Champion ...

JobNimbus

Principal Software Engineer - FinTech

Lehi, UT · On-site

$126K - $169K/yr

Act as a dedicated mentor and sponsor to Staff and Senior engineers, fostering a culture of continuous learning, deep technical curiosity, and extreme ownership. * Leverage AI Acceleration: Champion ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN ... data engineering to develop scalable solutions. - Identify areas where resources fall short of ...

Stantec

GIS Analyst

Salt Lake City, UT · On-site

Experience working in an Architecture, Engineering, and Construction (AEC) consulting environment ... GeoAI applied experience with ESRI's deep learning models. * Bi-lingual in French and/or Spanish ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Utah

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 Jul 9, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

What is a Deep Learning Engineer job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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 engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
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 are popular job titles related to Deep Learning Engineer jobs in Utah? For Deep Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Utah look for? The top searched job categories for 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:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Utah as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $105,480 per year, or $50.7 per hour.
Senior AI/ML Scientist

Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina

Salt Lake City, UT • On-site

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 7 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

163rd of 278 rated insurance

Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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