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Entry Level Machine Learning Engineer Jobs in Logan, UT

Statics Tutor

Logan, UT · Remote

$40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Bioengineering Intern

Logan, UT · On-site

$13 - $17.25/hr

Summary Applies knowledge of engineering, biology, and biomechanical principles to support the ... machines, processes or products. Conducts feasibility studies of designs to determine their ability ...

Bioengineering Intern

Logan, UT · On-site

$13 - $17.25/hr

Summary Applies knowledge of engineering, biology, and biomechanical principles to support the ... machines, processes or products. Conducts feasibility studies of designs to determine their ability ...

Bioengineering Intern

Logan, UT · On-site

$13 - $17.25/hr

Summary Applies knowledge of engineering, biology, and biomechanical principles to support the ... machines, processes or products. Conducts feasibility studies of designs to determine their ability ...

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Entry Level Machine Learning Engineer information

See Logan, UT salary details

$25.9K

$59.8K

$101.8K

How much do entry level machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Logan, UT is $59,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,400.00 and $67,700.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Logan, UT? For Entry Level Machine Learning Engineer jobs in Logan, UT, the most frequently searched job titles are:
What cities near Logan, UT are hiring for Entry Level Machine Learning Engineer jobs? Cities near Logan, UT with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Logan, UT as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, 1% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $59,831 per year, or $28.8 per hour.

School of Computing Assistant Professor

Utah State University

Logan, UT • On-site

Full-time

Posted 13 days ago


Utah State University rating

7.3

Company rating: 7.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

305th of 529 rated colleges and universities


Job description

Overview
The School of Computing (SoC) at Utah State University (USU) is excited to invite applications for a tenure-track Assistant Professor position. We seek candidates whose research advances core areas of computer science while engaging with interdisciplinary domains where computing plays a pivotal role. This position is ideal for scholars who integrate computing with fields such as data science, AI for science, computational biology, robotics, cybersecurity, human-computer interaction, or other emerging areas. The successful candidate will demonstrate excellence in research, teaching, and a commitment to interdisciplinary collaboration.
Review of applications may begin as early as December 1, 2025 and will continue until the position is filled.
Areas of Interest
We welcome applicants whose work integrates computer science with other domains to advance emerging research frontiers. Examples include (but are not limited to):
  • Computational Biology & Bioinformatics. Leveraging algorithms and machine learning to decode genomic data, model biological systems, and accelerate drug discovery.
  • Cyber-Physical Systems & Robotics. Combining computing, control theory, and mechanical engineering to design intelligent autonomous systems for manufacturing, healthcare, and transportation.
  • Human-Centered AI & Cognitive Science. Integrating artificial intelligence with psychology and neuroscience to create adaptive systems that understand and augment human cognition.
  • Computational Sustainability & Environmental Modeling. Using data science and simulation to address climate change, optimize energy systems, and manage natural resources.
  • Secure and Ethical Computing in Socio-Technical Systems. Merging computer security, ethics, and social sciences to design trustworthy systems for finance, healthcare, and governance.

Responsibilities
  • Develop a nationally recognized research program that is innovative, sustainable, and nationally recognized for excellence.
  • Teach and mentor students at both undergraduate and graduate levels, fostering curiosity and excellence.
  • Collaborate across disciplines to address complex societal challenges through computing.
  • Engage in service to the School, University, and professional communities.
  • Normal teaching load: Three courses per year, with a reduced load in the first year to support research startup.

Qualifications
Minimum:
  • Ph.D. in Computer Science or a closely related field by the time of appointment.
  • Evidence of research success and potential to secure external funding.
  • Commitment to excellence in teaching and mentoring.
  • Strong communication and problem-solving skills.

Preferred:
  • Experience in interdisciplinary research and/or industry collaboration.
  • Demonstrated ability to attract and supervise graduate students.

Required Documents
Along with the online application, please include:
  1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV".

The documents listed below to be uploaded at the beginning of your application in the Candidate Profile under "Documents 1-10":
  1. Cover letter summarizing your motivation, qualifications, experience, and career goals.
  2. A concise statemenet of your proposed research program
  3. A brief teaching statement that explains your approach to teaching.

**Document size may not exceed 10 MB.**
Advertised Salary
Commensurate with education and experience, plus excellent benefits.
ADA
Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.
College/Department Highlights
The College of Engineering at Utah State University is a regional leader in teaching and research. We are home to the world-famous Utah Water Research Laboratory and the National Science Foundation-funded ASPIRE Engineering Research Center for sustainable electrified transportation. Each year, our college welcomes an average of 2,600 undergraduate and 375 graduate students from around the globe. The college offers six ABET-accredited undergraduate degrees and nine graduate degree programs. In 2023, the college generated $40 million in research expenditures. Our award-winning faculty regularly secure competitive funding, and our students excel at national design and scholarships challenges. For more information, please visit: https://engineering.usu.edu/.
University Highlights
Founded in 1888, Utah State University is Utah's premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.
USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State's 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.
Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies' long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women's volleyball, three consecutive Mountain West tournament titles in women's soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement.
Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU.
The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university's ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
*updated 12/2025
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.
Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.
Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.
In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.
The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU's non-discrimination policies:
Matthew Pinner
Executive Director
Civil Rights & Title IX Office
matthew.pinner@usu.edu
435-797-1266 | Old Main Rm. 401D
1475 Old Main Hill, Logan, UT 84322
Cody Carmichael
Title IX Coordinator
cody.carmichael@usu.edu
435-797-1266 | Old Main Rm. 402D
1475 Old Main Hill, Logan, UT 84322
For further information regarding non-discrimination, please visit crtix.usu.edu or contact:
U.S. Department of Education
Denver Regional Office
303-844-5695| OCR.Denver@ed.gov
U.S. Department of Education
Office of Assistant Secretary for Civil Rights
800-421-3481 | OCR@ed.gov
*updated 10/2025

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