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Machine Learning Remote Internship Jobs in Orange, CA

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 ...

New

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 ...

New

Incubator Lab

Google Demand Gen Media Buyer

Los Angeles, CA · Remote

$3.0K - $5.0K/mo

... machine learning. * High-Frequency Testing: Design, run, and document rapid creative and audience ... REMOTE-FIRST & ASYNCHRONOUS We prioritize output over hours. However, because this role is deeply ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

Experience working with machine learning and data science teams to define model objectives ... Leadership experience in distributed or remote engineering teams, driving execution across time ...

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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 10, 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

IT Identity and Access Management (IAM) Engineer

Serve Robotics

Los Angeles, CA • Remote

$140K - $160K/yr

Full-time

Re-posted 6 days ago

Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

JOB OVERVIEW

The Identity and Access Management (IAM) Engineer is tasked to design, implement, and maintain enterprise IAM systems and processes. This role supports authentication, authorization, provisioning, and governance processes while ensuring compliance with organizational security policies and regulatory requirements.

JOB DUTIES

  • Design, deploy, and maintain IAM solutions (e.g., Okta, etc.)

  • Implement Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federation services

  • Integrate applications with identity providers using SAML, OAuth, OpenID Connect

  • Manage user lifecycle processes (joiner, mover, leaver)

  • Automate provisioning and deprovisioning workflows

  • Maintain role-based access control (RBAC) models

  • Conduct regular access reviews and certifications

  • Enforce least-privilege access principles

  • Support compliance initiatives (SOX, etc.)

  • Monitor and respond to identity-related security incidents

  • Maintain audit logs and documentation

  • Troubleshoot authentication and authorization issues

  • Provide Tier 2/3 support for IAM-related incidents

  • Develop and maintain IAM policies, standards, and procedures

  • Develop scripts and automation using Okta Workflows, PowerShell, Python, or similar languages to automate IAM workflows

  • Work with APIs for system integrations

  • Improve IAM operational efficiency through automation

EXPERIENCE, QUALIFICATIONS, & SKILLS

Required Experience, Qualifications, and Skills

  • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)

  • 3–7+ years of experience in IAM or related security roles

  • Demonstrated experience designing and administering enterprise IAM solutions, focused on Okta

  • Experience supporting cross-functional teams spanning IT, Security, HR, and business units

  • Familiarity with cloud platforms, including GCP, AWS, or Azure

  • Okta, Google Auth, Jumpcloud, Auth0

  • Identity governance and administration (IGA)

  • Privileged Access Management (PAM)

  • Okta

  • Jumpcloud

  • Familiarity with cloud platforms (GCP, AWS, Azure)

  • Strong analytical and troubleshooting skills

  • Understanding of cybersecurity principles

  • Ability to work cross-functionally with IT, Security, HR, and business teams

  • Strong documentation and communication skills

Preferred Experience, Qualifications, and Skills

  • Certified Identity and Access Manager (CIAM)

  • CISSP

  • CISM

Additional Information

  • Remote environment

  • May require occasional after-hours support

  • Participation in change management schedules

Compensation Range: $140K - $160K