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Machine Learning Remote Internship Jobs in Utah (NOW HIRING)

NetDocuments

Staff FinOps Engineer

Lehi, UT · On-site +1

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish financial visibility and governance models for AI and machine learning workloads ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Humana

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Pattern

Talent Review Partner (Contractor)

Lehi, UT · On-site +1

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

Pattern

Talent Review Partner (Contractor)

Lehi, UT · Remote

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This is a temporary, part-time contractor position that is fully remote and highly flexible.

ABB

OEM Sales Director-Machinery

UT · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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All JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Utah

Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a Machine Learning Remote Intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Utah? For Machine Learning Remote Internship jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Utah look for? The top searched job categories for Machine Learning Remote Internship jobs in Utah are:
What cities in Utah are hiring for Machine Learning Remote Internship jobs? Cities in Utah with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Staff FinOps Engineer

Staff FinOps Engineer

NetDocuments

Lehi, UT • On-site, Remote

Full-time

Life, Retirement, PTO

Posted 4 days ago

Job description

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.
NetDocuments is the world's #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters.
NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team.
At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, & 2024 list of Inc. Magazine's 5000 Fastest-Growing Private Companies in America.
Other recent awards include:
  • Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune
  • Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine
  • Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being
  • Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility
  • Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits
  • Two-time winner (2024, 2023) National Top Workplaces
  • Two-time winner (2024, 2023) Top Workplace Innovation
  • 2025 Remote Work
  • 2024 Technology Industry

NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day!
What You'll Do
NetDocuments is seeking a Staff FinOps Engineer to lead cloud financial operations across AWS and Azure. In this role, you will drive financial governance, cost visibility, and optimization strategies across a large-scale multi-cloud SaaS environment, partnering closely with CloudOps, Engineering, Finance, and leadership teams to improve operational efficiency and maximize business value.
This is a highly strategic and hands-on role grounded in the FinOps Foundation Framework, with direct accountability for translating financial insights into engineering action and measurable cost optimization outcomes.
You will:
Lead Cloud Financial Strategy & Governance
  • Drive FinOps practices across AWS and Azure using the FinOps Foundation Framework domains: Understand Usage and Cost, Quantify Business Value, Optimize Usage and Cost, and Manage the FinOps Practice.
  • Establish and maintain cost allocation models, tagging standards, and governance frameworks that enable accurate, actionable financial visibility.
  • Develop and enforce cloud financial policies, standards, and operational best practices across Engineering and CloudOps teams.
  • Partner with leadership to support cloud cost reduction initiatives and long-term infrastructure efficiency goals.

Drive Cost Visibility & Financial Insights
  • Own and manage CloudZero configuration, including taxonomy, tagging governance, and cost allocation rules.
  • Deliver actionable reporting and analysis for Engineering, Product, Finance, and leadership stakeholders, including anomaly detection, trend analysis, forecasting, and variance reporting.
  • Maintain visibility across AWS, Azure, Datadog, Elastic, and related platforms.
  • Advance cost intelligence initiatives, including unit economics and cost-per-customer analysis.

Optimize Cloud & SaaS Spend
  • Identify and drive optimization opportunities across Reserved Instances, Savings Plans, rightsizing, storage optimization, and SaaS licensing.
  • Develop and maintain utilization and cost-per-unit reporting across key infrastructure and vendor platforms.
  • Partner with Engineering teams to improve cost-aware architecture and operational decision-making.
  • Track optimization initiatives through measurable outcomes and ongoing KPI reporting.

Build & Scale the FinOps Practice
  • Embed FinOps processes into budgeting, forecasting, operational reviews, and engineering workflows.
  • Coach Engineering and CloudOps teams on cost accountability and sustainable financial operations under a "You Build It, You Run It" model.
  • Automate repeatable governance and reporting workflows using SQL, Python, and infrastructure tooling.
  • Drive adoption of emerging FinOps standards such as the FinOps Open Cost and Usage Specification (FOCUS).

Support Emerging AI & Platform Cost Management
  • Establish financial visibility and governance models for AI and machine learning workloads, including cost-per-token analysis and budget guardrails.
  • Partner with teams across the organization to evaluate evolving infrastructure usage patterns and cost drivers.
  • Help shape scalable financial operating models for emerging technologies and cloud-native platforms.

What You'll Need to Be Successful
  • 5+ years of experience in cloud financial management, FinOps, cloud infrastructure operations, or related disciplines.
  • Deep expertise in AWS cost architecture and strong working knowledge of Azure cost management.
  • Experience administering FinOps platforms, including ownership of cost allocation rules, tagging governance, and financial reporting structures.
  • Strong proficiency in SQL and Python for reporting, analysis, and automation.
  • Experience building cloud cost forecasts, financial models, and executive-level variance reporting.
  • Strong understanding of AWS cost optimization strategies, including Reserved Instances, Savings Plans, and enterprise discount models.
  • Experience implementing governance policies using Terraform, AWS Service Control Policies, or similar infrastructure-as-code approaches.
  • Demonstrated ability to influence Engineering teams and drive operational change without direct authority.
  • Strong analytical, communication, and stakeholder management skills.
  • Applied understanding of the FinOps Foundation Framework, including its principles, capabilities, and operating model.

What Will Make You Stand Out
  • FinOps Certified Practitioner or FinOps Certified Engineer certification.
  • Experience with CloudZero or similar enterprise FinOps platforms.
  • Experience with Azure Enterprise Agreement or Microsoft Customer Agreement discount structures.
  • Working knowledge of Terraform or CloudFormation for infrastructure and architecture reviews.
  • Experience in SaaS environments where infrastructure costs directly impact gross margin performance.
  • Experience managing cloud financial operations for AI or machine learning workloads.

What You'll Love About NetDocuments
  • The People!
  • HSA company contribution
  • 401K match at 4%
  • Flexible PTO (typically 3 to 4 weeks a year)
  • 10 paid holidays
  • Monthly contributions for life activities & wellness
  • Access to LinkedIn learning with monthly dedicated time to explore

Compensation Transparency
The compensation range for this position is: $125,000 - $150,000
The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations.
Equal Opportunity
NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.

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