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Machine Learning Remote Internship Jobs in East Rancho Dominguez, CA

Experian

Senior Full Stack Engineer

Costa Mesa, CA · On-site +1

This is a remote position. * Develop both front and back-end components. * Collaborate with teams ... Use data-driven approaches to train and improve machine learning models for automation tasks.

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Motorola

Senior DevOps Engineer (US REMOTE)

Culver City, CA · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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 ...

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 ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in East Rancho Dominguez, CA

Machine Learning Remote Internship information

See East Rancho Dominguez, CA salary details

$26K

$43.4K

$89.7K

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

As of Aug 11, 2026, the average yearly pay for machine learning remote internship in East Rancho Dominguez, CA is $43,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 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 cities near East Rancho Dominguez, CA are hiring for Machine Learning Remote Internship jobs? Cities near East Rancho Dominguez, CA with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in East Rancho Dominguez, CA 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 $43,424 per year, or $20.9 per hour.

Senior Full Stack Engineer

Experian

Costa Mesa, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for an experienced Full Stack Engineer with a background in both front-end and back-end development. This role reports to the Director of Engineering. This is a remote position.

  • Develop both front and back-end components.
  • Collaborate with teams to understand and document the requirements needed to deploy new applications and features.
  • Write clean, efficient, and maintainable code following best practices.
  • Optimize applications for maximum speed and scalability.
  • Troubleshoot and debug issues across the entire stack.
  • Maintain both front and back-end components of web applications.
  • Ensure that code meets all functionality and acceptance criteria, analysis of existing processes to identify areas for improvement and automation.
  • Use data-driven approaches to train and improve machine learning models for automation tasks.
  • Provide technical expertise to troubleshoot issues and improve automation workflows.
  • Document processes, workflows, and best practices for knowledge sharing and future reference.
  • Stay up to date with new technologies and industry trends related to software development, Generative AI and machine learning.
Qualifications
  • 3+ years of experience as a Full Stack Developer or similar role.
  • Programming skills in languages such as Python, Java, or C++.
  • Proficiency in front-end technologies such as HTML5, CSS3, JavaScript (ES6+), and front-end frameworks/libraries.
  • Experience with back-end technologies such as Node.js, Python, Ruby on Rails, or similar.
  • Experience with databases (SQL and NoSQL) and ORM libraries.
  • Familiarity with RESTful APIs and microservices architecture.
  • Competency in preparing and maintaining systems and program documentation.
  • Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes).
  • Understanding of Agile/Scrum methodologies.
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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