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Entry Level Machine Learning Engineer Jobs in Draper, UT

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Data Scientist

Lehi, UT

$120K - $145K/yr

Collaborate with data science peers, engineering, product, and operations teams to design, test, and deploy machine learning models that deliver operational impact * Partner with engineering teams to ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... Machine Learning: * Bachelors degree or Masters degree in computer science, computer engineering ...

... machine learning and analytical systems applied to design information and user behavior. • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

POSITION SUMMARY The DSP/Firmware Engineer role at AtlasIED involves the development of embedded ... Basic knowledge of core machine learning concepts * Experience with real-time audio processing and ...

Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior * Collaborate with ...

Software Engineer - Full-Time, On-Site Location: Downtown Salt Lake City, UTCompany: Altitude AI ... Have experience with or a strong interest in machine learning, especially LLMs (Large Language ...

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

Summary As a Data Engineer with WesTech, you will design, develop, and optimize scalable data ... Exposure to data science, forecasting, or machine learning workflows. * Experience with Power BI or ...

New

Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering. * Basic knowledge or ...

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

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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Entry Level Machine Learning Engineer information

See Draper, UT salary details

$28K

$64.8K

$110.3K

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

As of Jun 19, 2026, the average yearly pay for entry level machine learning engineer in Draper, UT is $64,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $73,400.00 per year, depending on experience, location, and employer.

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 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 most commonly searched types of Machine Learning Engineer jobs in Draper, UT? The most popular types of Machine Learning Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for Entry Level Machine Learning Engineer jobs? Cities near Draper, UT with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Draper, UT as of June 2026, with employment types broken down into 11% Internship, 71% Full Time, 12% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $64,843 per year, or $31.2 per hour.
Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting- 10273143

Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting- 10273143

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

$57K - $57K/yr

Other

This job post has expired today. Applications are no longer accepted.


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Duties: Associate, Data Analytics & Reporting with Goldman Sachs and Co. LLC in Salt Lake City, Utah. Function as a financial services business analyst responsible for performing and project managing data analytics (e.g., machine learning), monitoring portfolio health and identifying opportunities to drive industry leading operational excellence and exceptional customer experience. Leverage advanced modeling techniques to build forecasting models and machine learning techniques to understand the drivers of portfolio performance trends and identify solutions for improvements. Analyze data trends, utilize forecasting methods such as Time Series analysis, and leverage Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dives and understand drivers and trends. Define functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle. Conduct process re-engineering and workflow design. Assist in the implementation of solutions to improve portfolio performance. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments, and adhere to any new compliance guidance through monitoring new client, business and regulatory needs. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.  Work with desktop platforms and applications to ensure overall availability, while factoring in upstream or downstream system dependencies. 

Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Industrial Engineering, or related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: working in a business analyst role within the financial services sector; defining functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle; process re-engineering and workflow design; and working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

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.


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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