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Machine Learning Assistant Jobs in Salt Lake City, UT

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

... • Assist with the design, training, and evaluation of machine learning models applied to healthcare problems. • Support research workflows within established Linux-based environments under ...

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

... Assist with the design, training, and evaluation of machine learning models applied to healthcare problems. Support research workflows within established Linux-based environments under technical ...

BD

Machine Operator 2

Sandy, UT · On-site

$16.25 - $19.25/hr

Identify and raise equipment, process, safety, and quality concerns. * Assist with root cause ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Snap Finance US

Executive Assistant

West Valley City, UT · On-site

$65 - $95/hr

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our ...

Snap Finance

Executive Assistant

West Valley City, UT · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our ...

Snap Finance

Executive Assistant

West Valley City, UT · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

... intelligence and machine learning to energy systems. The position will involve developing ... research findings, assist with research proposals and project deliverables, collaborate with ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$70K - $82K/yr

... intelligence and machine learning to energy systems. The position will involve developing ... research findings, assist with research proposals and project deliverables, collaborate with ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Salt Lake City, UT

Machine Learning Assistant information

See Salt Lake City, UT salary details

$13

$17

$22

How much do machine learning assistant jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for machine learning assistant in Salt Lake City, UT is $17.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $18.61 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Salt Lake City, UT?

The most popular types of Machine Learning jobs in Salt Lake City, UT are:

What are popular job titles related to Machine Learning Assistant jobs in Salt Lake City, UT?

For Machine Learning Assistant jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Salt Lake City, UT look for?

The top searched job categories for Machine Learning Assistant jobs in Salt Lake City, UT are:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,337 per year, or $17.5 per hour.

Engineering Division- Draper- Associate, Systems Engineering- 10469780

Goldman Sachs, Inc.

Draper, UT

Full-time

Posted 26 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

89th of 175 rated banks

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

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Benefits

Hours and flexibility

Workplace

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Goldman Sachs logo

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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