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Machine Learning Remote Internship Jobs in Nevada

We operate at the intersection of machine learning, programmatic media, and full-funnel mobile ... Remote-first with real flexibility. Work from anywhere in the US, on a schedule that respects your ...

We operate at the intersection of machine learning, programmatic media, and full-funnel mobile ... Remote-first with real flexibility. Work from anywhere in the US, on a schedule that respects your ...

PR Coordinator

Las Vegas, NV · On-site +1

$60K - $75K/yr

Newsroom interns or junior reporters ready to cross to the PR side * Self-taught communicators with ... Speed of Learning: You absorb feedback fast and you do not need to be told the same thing twice

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 ...

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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 job categories do people searching Machine Learning Remote Internship jobs in Nevada look for? The top searched job categories for Machine Learning Remote Internship jobs in Nevada are:
What cities in Nevada are hiring for Machine Learning Remote Internship jobs? Cities in Nevada with the most Machine Learning Remote Internship job openings:
Infographic showing various Machine Learning Remote Internship job openings in Nevada as of July 2026, with employment types broken down into 14% Internship, 43% Full Time, 14% Part Time, and 29% Contract. Highlights an 100% Remote job distribution.
Manager, Talent & People Analytics

Manager, Talent & People Analytics

Breakthru

Las Vegas, NV • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted yesterday


Job description

Are you a current Associate? To be considered, you must submit your application through the internal Career Portal (Jobs Hub). Click here to access.

Time Type:

Full time

Remote Type:

Job Family Group:

Human Resources

Job Description Summary:

The Manager, Talent & People Analytics at Breakthru Beverage Group manages talent management programs and people analytics initiatives to drive informed workforce decisions and business outcomes. In this role, you will act as a partner to Human Resources by providing actionable insights from analyzing data that informs performance and talent strategy. Your projects will span the annual performance management cycle, employee engagement surveys, people analytics, annual talent review, other talent management processes, and special projects. You will collaborate across the business to drive best-in-class processes, programs, and tools that support a high-performance culture at Breakthru.

Job Description:

This role follows a flexible hybrid schedule and can be performed from any Breakthru Beverage office location.

Job Responsibilities:

  • Manages the end-to-end lifecycle of critical talent programs: performance management (goal setting, mid-year, and year-end) and employee engagement.
  • Analyzes and translates people and business data into actionable insights and recommendations that drive talent, performance, culture, and employee engagement strategies.
  • Consults with team members to execute various surveys, programs, and plans across the business to measure and enhance performance and impact.
  • Collaborates on driving the rollout of career frameworks, talent reviews, succession planning, and development planning.
  • Creates executive-level talent presentations that transform complex information into compelling narratives, using advanced PowerPoint design, visualization, and storytelling techniques to effectively communicate insights and recommendations.
  • Supports the broader HR team with a variety of ad hoc performance, talent management/ analytics-related projects and/or initiatives to support business growth and people-related objectives.
  • Other duties, as assigned by the jobholder's supervisor, may also be required.

Required Qualifications:

  • Bachelor's degree in business, industrial psychology, human resources, and/or related field.
  • Minimum of 5 years' experience in Human Resources, Talent Management, Analytics
  • Advanced data-driven mindset with ability to translate analytics into business insights
  • Advanced proficiency in Excel and PowerPoint, including data visualization, dashboard development, executive storytelling, and presentation design
  • Demonstrated experience applying AI, machine learning, and predictive analytics concepts to talent management and people analytics initiatives
  • Ability to multi-task, work independently and/or within a team, pay attention to detail, and meet deadlines
  • Utilizes sound judgement, project management, and problem-solving skills
  • Ability to work in a fast-paced, high-volume, results-focused corporate environment.

Preferred Qualifications:

  • Experience in one or more of the following areas:
    • HRIS and employee survey platforms (e.g., Workday, Peakon)
    • Power BI reporting and dashboard development
    • Survey design, item creation, or employee listening methodologies
    • Generative AI tools (e.g., Microsoft Copilot, ChatGPT, AI-assisted analytics tools)
  • Advanced Microsoft PowerPoint skills, including data visualization and storytelling for leadership audiences

Physical Requirements:

  • While performing the duties of this job, the employee is required to remain in a stationary position at times; communicate, and operate a computer and telephone

Competencies:

  • Manages complex tasks or projects requiring specialized expertise.
  • Analyzes ambiguous problems and recommends solutions.
  • Exercises independent judgment on moderate-impact decisions.
  • Leads projects and influences cross-functional partners.

This job description is only a summary of the typical functions of this position, not an exhaustive or comprehensive list of all possible job responsibilities, tasks and duties. Responsibilities, tasks, and duties of individual jobholders may vary from the above description.

Salary and Benefit Statement:

Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience.

  • Salary Range: $92,000.00 - $115,000.00

  • This position is eligible to participate in a bonus program. Metrics and level of participation are determined annually

  • This position is eligible for health care benefits, life insurance, time off benefits and participation in the Company's 401(k) plan

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Breakthru Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information and other legally protected characteristics. The EEO is the Law poster is available here. If you need a reasonable accommodation because of a disability for any part of the employment process, please call (708) 298-3536 and let us know the nature of your request and your contact information.