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Machine Learning Intern Remote Jobs in Irvine, CA

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products * Collaborate with ...

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About The Role We need someone who can own the day-to-day of our marketing machine -- social ... learning-curve hours. About Us We're a credible, funded, remote-first startup backed by a growing ...

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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 ...

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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Machine Learning Intern Remote information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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

As of Aug 7, 2026, the average yearly pay for machine learning intern remote 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 are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Irvine, CA? The most popular types of Machine Learning Remote jobs in Irvine, CA are:
What are popular job titles related to Machine Learning Intern Remote jobs in Irvine, CA? For Machine Learning Intern Remote jobs in Irvine, CA, the most frequently searched job titles are:
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What cities near Irvine, CA are hiring for Machine Learning Intern Remote jobs? Cities near Irvine, CA with the most Machine Learning Intern Remote job openings:

Data Science Manager

Corvel

Irvine, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


CorVel rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

84th of 150 rated financial services


Job description

This is an exciting opportunity for a blended role for Manager, Data Science within our Data Product space. The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data professionals. This is a highly technical, hands-on role that requires a combination of strong experience developing scalable solutions and zero to one product launch moving them from concept through production. This role requires hands-on technical contribution and is not solely an oversight function.

The ideal candidate has demonstrated experience building data products and operationalizing machine learning within a cloud environment such as Azure, AWS, or similar platforms. This role requires comfort working with modern data architectures, integrating data pipelines, and managing the full lifecycle of models and AI applications. This individual has expertise in machine learning, statistical modeling, and data visualization to translate business needs into actionable insights. You will guide a team in applying best practices for model assessment, feature engineering, and scalable deployment while collaborating across business functions to ensure alignment with organizational goals. 

The position works closely with key business stakeholders and development teams and operates within the full software development lifecycle to deliver secure, reliable, and maintainable solutions. This individual is expected to contribute directly to technical design, development, and deployment efforts while ensuring best practices across architecture, performance, and model lifecycle management.

This is a remote position.

ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

  • Design, build, train, and deploy production-grade machine learning models, AI solutions and data products
  • Collaborate with business stakeholders to identify high impact opportunities and deliver data driven solutions that support strategic goals
  • Design and implement data visualization solutions to effectively communicate complex insights to business stakeholders
  • Translate business requirements into actionable data science projects aligned with organizational strategy
  • Collaborate cross-functionally to identify data sources, ensure data quality, and deploy scalable models into production environments
  • Develop a framework to monitor model performance post-deployment and recommend adjustments to maintain accuracy and robustness
  • Stay ahead of industry trends, emerging technologies, and best practices in data science and AI
  • Partner with engineering teams to build and support data pipelines using technologies such as Azure Data Factory or comparable tools
  • Work closely with development teams across the full SDLC, ensuring solutions are production-ready, secure, and maintainable
  • Play a key role in architectural decisions, technical design reviews, governance frameworks for models and implementation strategies
  • Communicate model behavior and results into actionable insights to business and technical stakeholders
  • Manage a team of highly technical data and AI professionals to complete project deliverables and provide guidance on modeling techniques, feature engineering, and data analysis methods
  • Foster a high-performing team culture through coaching, mentoring, and professional development
  • Additional duties as assigned

KNOWLEDGE & SKILLS:

  • Strong technical expertise in machine learning and AI solution development
  • Experience building and deploying data products in production environments
  • Hands-on experience with cloud platforms such as Azure, AWS, or similar ecosystems
  • Familiarity with ML lifecycle management, data pipeline orchestration, and production support
  • Solid understanding of software engineering principles and development workflows
  • Ability to write, review, and optimize Python and SQL code
  •  Deep understanding of Large Language Model (LLM) orchestration, specifically how to build "Agents" that can reason, use tools, and execute workflows autonomously
  • Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings, vector indexing, and the "chunking" of unstructured data for AI consumption
  • Excellent written and verbal communication skills; ability to translate complex models to business users
  • Excellent presentation skills

EDUCATION & EXPERIENCE:

  • Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master’s degree preferred
  • 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field
  • 5+ years of demonstrated experience leading teams and driving enterpriselevel change initiatives

PAY RANGE

CorVel uses a market-based approach to pay and our salary ranges may vary depending on your location.  Pay rates are established taking into account the following factors:  federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions.  Our ranges may be modified at any time.

For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role.  The level may impact the salary range, and these adjustments would be clarified during the offer process.

Pay Range:  $119,127– $197,729

A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management

In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.

ABOUT CORVEL:

CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries.  CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients.  We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities.  Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).

A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.

CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.

#LI-Remote


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