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Machine Learning Remote Internship Jobs in Irvine, CA

Sr. Engineer II - Software Design

Irvine, CA ยท Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Develop and implement machine learning algorithms to enhance AI capabilities. * Research and ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

Summer Interns will have an opportunity to be part of high-performing project teams developing new ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

New

Showing results 21-40

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 Sep 4, 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 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 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 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 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:

Infographic showing various Machine Learning Remote Internship job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.

Entry-Level Marketing Coordinator -- Remote

59 Pines

Laguna Beach, CA โ€ข Remote

$55K - $80K/yr

Contractor

Posted 2 days ago

New


Key responsibilities

  • Manage social media scheduling and posting to keep channels active and consistent across platforms

  • Coordinate campaign launches from concept to live, ensuring timely execution

  • Engage with online communities by monitoring and participating in relevant discussions


Job description

We're hiring an Entry-Level Marketing Coordinator to help drive awareness, engagement, and community growth as we prepare for public launch.

Summary
  • Flexible Title: Can tailor to reflect your skills & experience.
  • Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract).
  • Flexible Commitment: Can do short-term, long-term, or intermittent.
  • Entry-level welcome. Internships, freelance, and 0–2 years all count.

Why so flexible? We're a FUNDED startup racing to launch end of Q3 2026. That gives us just 3 months to stack features while raising additional working capital. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long-term "side gig" relationships, if that's what you're into—in our experience, a few expert hours often beat full-time learning-curve hours.

About Us

We're a credible, funded, remote-first startup backed by a growing team. We're pre-launch and moving fast.

About The Role

We need someone who can own the day-to-day of our marketing machine — social scheduling, community engagement, campaign coordination, and light copywriting — while we sprint toward public launch. You'll work closely with our GTM team and have real impact on how we show up across channels.

This is an execution-first coordinator seat. If you have 0–2 years (or a strong internship / freelance book), you won't be asked to "figure out marketing from zero" — our systems are built, we need someone to help run and improve them.

Compensation

Up to $80,000 max total annual compensation in Tier 1 cities; cash and equity components to be negotiated. Given the flexible commitment model, comp will be structured accordingly — fractional or hourly arrangements welcome.

What You'll Do in Your First 7 Days
  • You've reviewed our current marketing channels, content calendar, and campaign workflows
  • You've gotten access to our tools and started familiarizing yourself with the stack
  • You've attended your first team standup and have a feel for how we communicate and prioritize
  • You've drafted or scheduled your first round of social content
  • The team knows who you are, why you're here, and how you'll work together
What You'll Do Ongoing
  • Manage social media scheduling and posting — keep our channels active and consistent across platforms
  • Coordinate campaign launches — help the team get campaigns from concept to live, on time
  • Engage with communities — monitor and participate in relevant online communities where our audience hangs out
  • Support content creation — draft social posts, email copy, and light blog content
  • Track and report on performance — pull basic metrics and flag what's working and what isn't
What We're Looking For

Must-haves:

  • 0–2 years of marketing experience (agency, in-house, freelance, internship, or campus org — all count)
  • Comfortable with social media management tools (Buffer, Hootsuite, Later, or similar) — or ready to learn them in week one
  • Can write clear, engaging copy for social and email without heavy editing
  • Organized and self-directed — you don't need daily check-ins to stay on track
  • Strong async communicator — you document your work and flag issues proactively

Nice-to-have:

  • Experience in startup or small-team environments
  • Basic analytics skills (Google Analytics, social platform insights)
  • Design skills (Canva, Figma, or similar)
  • Comfortable in fast-moving, ambiguous environments
What You're NOT
  • Not a senior strategist role — you'll have input, but this is an execution-first seat
  • Not a solo marketing department — you'll work alongside a GTM team, not replace one
  • Not a pure design role — light creative work, but we're not hiring for graphic design

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