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Artificial Intelligence Engineer Intern Jobs in California

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

... artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help ... Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

... artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help ... Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ...

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Artificial Intelligence Engineer Intern information

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.
What are the most commonly searched types of Artificial Intelligence Engineer jobs in California? The most popular types of Artificial Intelligence Engineer jobs in California are:
What cities in California are hiring for Artificial Intelligence Engineer Intern jobs? Cities in California with the most Artificial Intelligence Engineer Intern job openings:

Artificial Intelligence Engineer

Innovaccer Analytics

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Job description

About the Role
We are looking for an AI Engineer to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.

In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.

The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle-from experimentation and prototyping to production deployment and optimization.

A Day in the Life

  • You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
  • You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
  • You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
  • You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
  • You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
  • You read current research and can tell the difference between a technique that will hold up and one that will not.
  • You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.

What You Need

  • MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
  • Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
  • You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
  • Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
  • Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
  • Evidence you can finish things.

We offer competitive benefits to set you up for success in and outside of work.

Here's What We Offer

  • Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
  • Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
  • Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
  • Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.

Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.

Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.


About Innovaccer

Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure- extending the human touch in healthcare. For more information, visit www.innovaccer.com.

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