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Reinforcement Learning Jobs in Utah (NOW HIRING)

Chamberlain is accredited by the Higher Learning Commission (www.hlcommission.org), an ... academic reinforcement to students throughout their academic program and as they prepare for ...

BCABA Tutor

Provo, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

BCABA Tutor

Logan, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

BCABA Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Ability to explain reinforcement schedules, functional behavior assessment, and behavior ...

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Reinforcement Learning information

See Utah salary details

$25.9K

$53.1K

$72.8K

How much do reinforcement learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for reinforcement learning in Utah is $53,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $61,900.00 per year, depending on experience, location, and employer.

What does a reinforcement learning professional do?

A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.

What are the key skills and qualifications needed to thrive in the reinforcement learning position?

To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.

What is a reinforcement learning?

A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.

What are the most commonly searched types of Reinforcement Learning jobs in Utah? The most popular types of Reinforcement Learning jobs in Utah are:
What are popular job titles related to Reinforcement Learning jobs in Utah? For Reinforcement Learning jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Reinforcement Learning jobs? Cities in Utah with the most Reinforcement Learning job openings:
Infographic showing various Reinforcement Learning job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $53,117 per year, or $25.5 per hour.

TECH ADJUNCT (Artificial Intelligence)

Neumont College of Computer Science

Salt Lake City, UT

Full-time

Posted 21 days ago


Job description

As a Neumont University instructor you will develop leadership and mentoring skills that will enhance your career. It can be a very rewarding experience as you see students start to understand complex subjects and gain confidence in their abilities.

Neumont is looking to fill multiple adjunct faculty positions to teach (in-person) in the following area:

  • Artificial Intelligence

Neumont University is looking for tech individuals with in-industry experience to teach the following technologies:

Artificial Intelligence:

  • Ability to teach AI fundamentals to complete beginners in clear, accessible terms
  • Familiarity with low-code AI tools, including Microsoft Azure ML Studio

AI Data Modeling:

  • Proficiency in SQL/SQLite and relational database design (entity-relationship modeling through normalization)
  • Experience with dimensional modeling / data warehousing (star schemas, OLTP vs. OLAP)
  • Understanding of how data modeling supports ML pipelines (feature stores, vector stores/embeddings, train/serve skew)
  • Ability to teach query optimization, including indexes and reading query execution plans
  • Strong working proficiency in Python, sufficient to review and debug student code live in class

Machine Learning Foundations:

  • Comfort teaching and evaluating algorithmic complexity (Big-O: time and space)
  • Solid grounding in core ML concepts: supervised/unsupervised/reinforcement learning, overfitting, neural network fundamentals

Reinforcement Learning:

  • Solid theoretical grounding in reinforcement learning (MDPs, Bellman equations, dynamic programming)
  • Hands-on experience with Monte Carlo methods, TD learning/SARSA, Q-learning, policy gradients, and DQNs
  • Working knowledge of NumPy and PyTorch
  • Ability to teach on-policy vs. off-policy tradeoffs and deep-RL stability concepts (replay buffers, target networks)

QUALIFICATIONS:

  • Bachelor’s or higher degree in computer science or a related field AND 4 years of CS related experience (or 8 years of CS related experience without a CS degree)
  • Teaching experience preferred, but not required
  • Ability to work within the U.S. without company sponsorship

LOCATION: In-person, on campus

TIME COMMITMENT:

  • Courses begin October 5, 2026 and are 5 to 10 weeks long, depending on the course.
  • We make classes work around full-time work schedules as we offer AM and PM classes.
  • Adjuncts may spend up to 10 hours a week outside of class doing grading and familiarizing themselves with the curriculum. This time commitment lessens once they get the hang of teaching.

ADVANTAGES TO BEING A NEUMONT FACULTY MEMBER:

  • Improve the lives of students from across the nation through the power of education.
  • Opportunity to give back through educating the next generation of tech experts.
  • Experience the "light" turn on in your student's eyes as you teach and they experience true understanding.
  • Be a part of a computer science institution that focuses on creating software engineers that can DO, not just theorize.
  • Develop your teaching/mentoring skills.

Faculty at Neumont University are responsible for educating students in accordance with the Neumont teaching methodology, which focuses on active learning and engaging students in the learning environment. Faculty members are also responsible for grading and providing valuable feedback to students in a timely manner, mentoring students in groups or individually, evaluating curriculum, adapting coursework and materials as necessary to meet student learning needs, and other activities related to effective instruction.

RESPONSIBILITIES, INCLUDING BUT NOT LIMITED TO:

  • Implement best practices in teaching and project-based learning
  • Submit all new teaching materials to Neumont vault upon completion of each course
  • Work with supervisor to identify areas for personal development and course improvement
  • Utilize feedback from mid-quarter and end-of-quarter evaluations to improve teaching
  • Identify innovative teaching methods to solve curricular problems
  • Teach material defined in the course description and syllabus
  • Maintain and meet the listed student learning goals
  • Utilize the Neumont LMS to keep an updated syllabus, course materials, and grades
  • Provide a safe learning environment for students
  • Answer and deal respectfully with student complaints and problems
  • Use effective assessments that measure student learning
  • Provide timely and accurate feedback to students’ assignments, exams, projects, etc.

FAQ

I’ve never taught before, am I qualified to teach?

We hire industry professionals and help them learn how to be good teachers. Our project-based curriculum means fewer lectures and more hands-on practice. Instructors must have at least 4 years of industry experience and a bachelor’s degree in a tech related field. An additional 4 years of outstanding experience and contributions to the field may be substituted for a formal degree.

Do I have to develop the curriculum?

You will use curriculum that has been developed and refined by previous Neumont instructors. We expect that you will share your individual perspective and experiences with the students to supplement the formal curriculum.

Does Neumont offer online courses?

No. Our classes are in-person as it makes for a better teaching/learning experience.

What is the process to get started?

All instructors will go through a formal application process which includes a short teaching demonstration. We will verify your work experience and educational credentials.

NU is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Neumont’s Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school’s policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.