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Machine Learning Remote Internship Jobs in Orange, CA

Recruit Monitor

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages * Develop technical as well as process-based ...

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Our National Conversation

Grant Writing Intern

Los Angeles, CA · On-site +1

$16.25 - $21.50/hr

This position is remote, with work primarily conducted over Zoom and Slack, so applicants must be ... However, many people choose to extend their internship past the amount of time they initially ...

Our National Conversation

Grant Writing Intern

Los Angeles, CA · Remote

$16.25 - $21.50/hr

This position is remote, with work primarily conducted over Zoom and Slack, so applicants must be ... However, many people choose to extend their internship past the amount of time they initially ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Orange, CA

Machine Learning Remote Internship information

See Orange, CA salary details

$27.2K

$45.5K

$94K

How much do machine learning remote internship jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning remote internship in Orange, CA is $45,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $49,100.00 per year, depending on experience, location, and employer.

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 Orange, CA look for?

The top searched job categories for Machine Learning Remote Internship jobs in Orange, CA are:

What cities near Orange, CA are hiring for Machine Learning Remote Internship jobs?

Cities near Orange, CA with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you

Senior Data Analyst / Remote

Recruit Monitor

Los Angeles, CA • Remote

$92K - $116K/yr

Full-time

Posted 29 days ago

Job description

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business growth by using business intelligence tools to mine complex data, identify historic trends, and visualize large datasets. Data Analysts play a critical role in data governance, helping to create and maintain data standards and quality.

The HR Data Analyst will work as part of the skilled and passionate Paychex HR Analytics Team delivering business solutions that enable workforce planning, people analytics, and other HR data initiatives and projects. The positions primary role will be to leverage people data (attrition, diversity, headcount, etc.) and talent acquisition data (hiring, recruitment, etc.) to solve complex business problems.

At Paychex, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy

JOB RESPONSIBILITIES:

  • Develop and maintain data reports measuring daily business activities in Power BI, Alteryx, or similar tools using query languages and formula libraries such as SQL and DAX
  • Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets.
  • Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages
  • Develop technical as well as process-based solutions addressing business needs
  • Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards
  • Develop best practices and document proven solutions
  • Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities
  • Gather and document analytics project requirements from business stakeholders
  • Explore and understand the inner workings and market context of an aircraft OEM
  • Coordinate data management and resource requirements with data engineers
  • Conduct training to business analysts and internal customers on data and resources available through the analytics system

Take your career higher at Paychex:

  • Competitive starting salaries with growth potential
  • Health benefits beginning day one
  • Tuition assistance and continuing education programs
  • Paid holidays
  • Relocation assistance (terms and conditions apply)
  • Flight training courses and bonuses (terms and conditions apply)

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