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Volunteer Machine Learning Jobs in Utah (NOW HIRING)

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You actively volunteer and participate in group collaborations. * You take full ownership of your ...

Pattern

Senior Ecommerce Sales Engineer

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You actively volunteer and participate in group collaborations. * You take full ownership of your ...

Pattern

Customer Success Manager

Lehi, UT

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You actively volunteer and participate in group collaborations. * You take full ownership of your ...

Pattern

Customer Success Manager

Lehi, UT · On-site +1

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You actively volunteer and participate in group collaborations. * You take full ownership of your ...

Walker Tape Co

Maintenance Technician

West Jordan, UT · On-site

Keep Learning We want to help you grow and flourish! Well send you to conferences, trainings, and ... Voluntary Life Insurance * Short Term Disability Insurance * Critical Illness Insurance * Accident ...

Walker Tape Co

Maintenance Technician

West Jordan, UT · On-site

Keep Learning We want to help you grow and flourish! We'll send you to conferences, trainings, and ... Voluntary Life Insurance * Short Term Disability Insurance * Critical Illness Insurance * Accident ...

Walker Tape Co

Maintenance Technician

West Jordan, UT · On-site

$22 - $30/hr

Keep Learning We want to help you grow and flourish! We'll send you to conferences, trainings, and ... Voluntary Life Insurance * Short Term Disability Insurance * Critical Illness Insurance * Accident ...

Compass Group

STEWARD (FULL TIME)

Salt Lake City, UT

$20/hr

Operates large electric machines such as dishwashers, sanitizers, trash compactors, and glass ... Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity ...

Compass Group

STEWARD

Salt Lake City, UT · On-site

$20/hr

Operates large electric machines such as dishwashers, sanitizers, trash compactors, and glass ... Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity ...

Compass Group

STEWARD (FULL TIME)

Salt Lake City, UT

$20/hr

Operates large electric machines such as dishwashers, sanitizers, trash compactors, and glass ... Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity ...

Chartwells HE

STEWARD (FULL TIME)

Salt Lake City, UT · On-site

$20/hr

Operates large electric machines such as dishwashers, sanitizers, trash compactors, and glass ... Voluntary Benefits, including Critical Illness Insurance, Accident Insurance, Hospital Indemnity ...

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All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Utah

Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for volunteer machine learning in Utah is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $18.37 per hour, depending on experience, location, and employer.

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

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Volunteer Machine Learning jobs in Utah? For Volunteer Machine Learning jobs in Utah, the most frequently searched job titles are:
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Volunteer Machine Learning jobs near you
Senior Ecommerce Sales Engineer

Senior Ecommerce Sales Engineer

Pattern

Lehi, UT • On-site

Full-time

Posted 13 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

As a Sales Engineer, you will act as the ecommerce expert between lead generation representatives and Deal Closers. Your mission will be to strategically assess which potential clients could make excellent Pattern partners - auditing prospective partner performance across Marketplaces in different regions, understanding the market growth opportunity through conducting thorough research and providing accurate commercial forecasting to estimate growth potential. Working closely with the global Sales team, you will also be interacting with colleagues all over the world including EMEA, APAC and Middle East. 
 
This full-time role is based in Lehi, UT, with a flexible hybrid schedule.
What is a day in the life of the Sales Engineer?
  • Acquiring new brand partners through identifying high potential accounts.
  • Building data-driven, compelling business cases that engage brands and set the right expectations that Pattern can deliver on.
  • Working across sales, ads, data science, brand mgmt, finance, and other teams to drive strategies that assist in closing new brand partners.
  • Being the subject matter expert on Amazon (& other marketplaces) and Pattern capabilities such that Account Executives always want you on calls to drive confidence in Pattern expertise & the ability to grow their brand.
  • Supporting a smooth transition from sales to brand management.
  • Proactively coordinate with various stakeholders (domestically & internationally) to prioritize and drive innovative projects .
  • Present business cases to potential accounts (executive teams).
  • Serve as an expert on all things eCommerce / Amazon to assist in closing deals.
What will I need to thrive in this role?
  • 3+ years experience in eCommerce – preferably working in eCommerce at a brand or working for a marketplace (e.g. eBay, Amazon, etc.) on the brand mgmt side (i.e. 1P).
  • Deep understanding of 1P strengths & weaknesses and economics.
  • Understands key success metrics for a brand in an eCommerce environment.
  • Translates data into insights and effectively communicate them with senior stakeholders.
  • Analytical - experienced with Excel/Google Sheets and building presentations to communicate with executives.
  • ​​Communicates in a clear, concise manner and can tailor messaging to the audience (e.g. exec level vs. mid-level mgmt level).
  • Prioritizes daily activities to ensure materials are prepped for highest priority potential accounts and reps are prepped with insights.
  • Understands the context and pain points of various accounts to tailor messaging, decks, etc. to meet those needs.
  • Works efficiently cross-functionally; builds relationships and leverages expertise of various departments to build better business cases and/or reinforce Pattern capabilities.
  • Has a solid grasp on industry stats/Pattern proof points and process qualitative/quantitative data to create value for potential partners and stays up-to-speed on industry trends and Pattern capabilities to drive value for brands.
What does high performance look like?
  • You are friendly, trustworthy, and a high-performer.
  • You follow through and fast.
  • You wow customers time and time again and build immense trust quickly.
  • You bring smart solutions to problems and engagements.
  • You give 100% and always go the extra-mile.
  • You actively volunteer and participate in group collaborations.
  • You take full ownership of your projects to completion.
  • You proactively identify areas of opportunity and work to execute on them.
What is the team like?
  • You will report to the Head of Revenue Operations and work with the other full-time Revenue Operations team members and Sales & Marketing leadership. This team is data-driven and results oriented. You will collaborate regularly with members of your team to implement actionable solutions. 
What does success look like in the first 30, 60, 90 days?
  • Our onboarding process should ensure that within 30 days, employees gain product knowledge and understand our value proposition; by 60 days, they should handle calls proficiently; and by 90 days, they should manage deals and understand customer personas. We need to enhance this process significantly.
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • An initial phone interview with Pattern’s talent acquisition team.
  • A video interview with the hiring manager.
  • A video interview with the hiring manager.
  • An onsite interview/data/demo project with the hiring manager and executive leader.
  • Reference checks.
  • Executive review.
  • Offer.
How can I stand out as an applicant?
  • Be prepared to talk about professional accomplishments with specific data to quantify examples.
  • Be ready to talk about how you can add value and be the best addition to the team.
  • Focus on mentioning how you would make a difference at Pattern.
  • Be prepared to talk about any side projects related to data and analytics.
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern 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. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.