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Entry Level Machine Learning Engineer Jobs in Provo, UT

Crew Career Center

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Patientco

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

Work closely with Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning and analytical systems applied to design ...

Neighbor

Software Engineer

Lehi, UT · On-site

We are looking for legendary engineers. You know the type. When you are at lunch and a story starts ... Machine-learning / Data Science * Technical leadership Benefits * Stock options * Medical, dental ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Provo, UT

Entry Level Machine Learning Engineer information

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$28.4K

$65.6K

$111.6K

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

As of Sep 15, 2026, the average yearly pay for entry level machine learning engineer in Provo, UT is $65,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $74,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

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 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 the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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 the most commonly searched types of Machine Learning Engineer jobs in Provo, UT?

The most popular types of Machine Learning Engineer jobs in Provo, UT are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Provo, UT?

For Entry Level Machine Learning Engineer jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Provo, UT look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Provo, UT are:

What cities near Provo, UT are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Provo, UT with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Provo, UT as of September 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $65,614 per year, or $31.5 per hour.

Engineering Division- Draper- Associate, Systems Engineering- 10469780

Draper, UT • On-site

Goldman Sachs, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs, Inc.external

Full-time

Re-posted 5 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Duties: Associate, Systems Engineering with Goldman Sachs Services LLC in Draper, Utah. Develop expertise across all Engineering, including datacenter design, networks, storage, grid compute, operating systems, databases, communications, market data and software languages. Contribute to the design and development of the firm's computer and data infrastructure by identifying internal hardware and implementing public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications. Assist in the creation of automated testing processes, standards, solutions and tools to ensure smooth operation of the firm's businesses. Apply data mining and machine learning techniques to identify and react to problems in the firm's infrastructure and platforms. Identify, analyze, and resolve application issues by documenting repetitive error resolutions and minimizing operational errors. Assist in developing and monitoring reports to track and manage application health and support application service performance. Assist in monitoring risk in the production environment and change management processes. Help to improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends. Review and assess production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders. Develop sustainable systems and services through automation, performance tuning and database queries. Assist with business continuity planning and disaster recovery and plan appropriate contingency plans.  

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and one (1) year of experience in job offered or related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems/Technology, or related field and three (3) years of experience in job offered or related role. Prior employment must include one (1) year of experience (with a Master's) OR three (3) years of experience (with a Bachelor's) with: performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as DB2 or Sybase ASE; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery; and performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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