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Machine Learning Remote Internship Jobs in Irvine, CA

Guardianlife

Dental Standards Leader

Newport Beach, CA · On-site +1

$86K - $141K/yr

Facilitate knowledge-sharing sessions and contribute to a culture of continuous learning and ... Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an ...

Saratech

Senior Enterprise TC Architect

Mission Viejo, CA · Remote

$220K - $240K/yr

Remote Company Overview: From start-ups to blue-chips, Saratech (saratech.com) helps companies ... and industrial machinery. We are seeking highly skilled and motivated Teamcenter Application ...

Saratech

CAE Application Engineer

Mission Viejo, CA · Remote

$120K - $180K/yr

Remote Salary Range: 120,000 - 180,000 Company Overview: From start-ups to blue-chips, Saratech ... machinery. We are seeking highly skilled and motivated Application Engineers to join our dynamic ...

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

Machine Learning Remote Internship information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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

As of Jul 20, 2026, the average yearly pay for machine learning remote internship in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 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 are popular job titles related to Machine Learning Remote Internship jobs in Irvine, CA? For Machine Learning Remote Internship jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Irvine, CA look for? The top searched job categories for Machine Learning Remote Internship jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Machine Learning Remote Internship jobs? Cities near Irvine, 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 Irvine, CA as of July 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Part Time. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.
Product Lifecycle Management (PLM) Application Engineer - REMOTE

Product Lifecycle Management (PLM) Application Engineer - REMOTE

Saratech

Mission Viejo, CA • Remote

$20 - $60/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Position: Product Lifecycle Management (PLM) Application Engineer

Location: Remote

Company Overview:

From start-ups to blue-chips, Saratech (saratech.com) helps companies engineer and manufacture complex products. Saratech is a leading engineering Siemens software partner, but first and foremost an engineering services firm renowned for driving innovation across various industries. We specialize in developing cutting-edge solutions that transform the way products are designed, produced, and supported. Our PLM technologies help businesses streamline their operations, from concept to retirement, ensuring efficiency, quality, and sustainability. We have experience in helping companies with digital thread enablement through a complete digital twin. Our team works with some of the best companies in multiple sectors industries including aerospace, space launch, defense, automotive, and industrial machinery.

Job Description:

We are seeking highly skilled and motivated Teamcenter Application Engineers to join our dynamic team. The ideal candidate will have a proven track record in PLM software presales and post-sales support, be personable and a natural helper with a customer service minded philosophy, thrive in a fast-paced and learning-intensive environment, get a rush from solving challenging problems that other people cannot, and deliver solutions graciously over the phone or in person. Comfortable working autonomously, the candidate wants to see the team succeed and gets satisfaction from knowing that he or she played a critical role.

Key Responsibilities:

  1. Provide technical expertise and support for PLM products, including troubleshooting and resolving issues with PLM and network and software/hardware performance issues
  2. Provide higher-level technical support to extend our customers' abilities to apply Teamcenter solutions to meet design challenges
  3. Perform pre/post sales customer support including software demonstrations
  4. Implement, configure, and customize Teamcenter PLM software to meet business requirements
  5. Work closely with clients to analyze their current processes, identify areas for improvement, and integrate PLM solutions effectively
  6. Develop user training materials and conduct training sessions to enhance the adoption of PLM tools
  7. Develop a foundational knowledge of the standards and regulatory requirements which affect the design and manufacture of products
  8. Contribute to future software releases by prioritizing known product defects and communicate customer feedback to Siemens' product development teams
  9. Collaborate with cross-functional teams to ensure the successful deployment of PLM strategies
  10. Keep up to date with the latest industry trends, technologies, and best practices in PLM
  11. Contribute to the continuous enhancement of our PLM offerings based on customer feedback
  12. Gain further knowledge of CAD/CAM/CAE/PLM solutions and market needs

Qualifications:

  1. Bachelor's or master's degree in engineering, Computer Science, or a related field
  2. Minimum of 2 years of experience with Siemens PLM tools such as Siemens Teamcenter
  3. Strong understanding of engineering processes and product development cycles
  4. Experience with CAD integration and data migration in a PLM context.
  5. Proficient in one or more programming or scripting languages relevant to PLM customization.
  6. Exceptional problem-solving abilities and analytical skills.
  7. Excellent communication and interpersonal skills to effectively interact with clients and team members.
  8. Project management experience is a plus.

What We Offer:

  1. Competitive salary and benefits package
  2. Dynamic and inclusive work environment
  3. Opportunities for professional growth and career advancement
  4. Exposure to the latest technologies and innovative projects
  5. Flexible working arrangements to balance your work and personal life
  6. A supportive culture that values diversity, equity, and inclusion

How to Apply:

Please submit your resume through our online application portal.

At Saratech, we believe in harnessing the power of diverse talent to revolutionize the engineering sector. Join us and be a part of a team that's shaping the future of product lifecycle management.

Benefits

Insurance: All full-time regular employees (and dependents) are eligible to get medical, dental, vision coverage. Employees also can buy up on benefits like FSA, HSA, Life insurance, long and short-term disability.

Comprehensive health care and wellness plans

Retirement Plan: All employees can enroll in the company's 401k with company matching.

Paid Time Off: All full-time regular exempt employees are eligible for our Discretionary Time Off vacation policy after 90 days from their start date, Discretionary Time Off plan is a non-accrual plan for employees. All full-time regular non-exempt employees are eligible for our Paid Time Off Plan policy after 90 days, Paid Time Off plan is an 3.33 hours accrual per pay period for employees.

Paid Holidays: All full-time employees will receive 8 paid holidays per year. Full-time non-exempt employees receive an extra floater holiday per year.

Paid Sick time: All full-time and part-time employees will receive 40 sick hours per year or minimum sick time required by the state.

NOTE TO STAFFING AGENCIES AND RECRUITERS: Saratech does not accept unsolicited resumes from any external agency for the placement of any position. Unsolicited resumes submitted by agencies and received by Saratech will be considered the property of Saratech and may be contacted and engaged with directly by Saratech. Saratech will not pay a placement fee or any other fees to any third-party agency, firm or recruiter who is not specifically retained with a signed fee agreement by Saratech Human Resources to conduct a candidate search. Please do not forward unsolicited resumes to our website or to any Saratech employee. Saratech will not be responsible for any fees associated with unsolicited resumes.

EQUAL EMPLOYMENT OPPORTUNITY NOTICE: Paydarfar Industries, Inc. dba Saratech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.