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Deep Learning Intern Jobs in California (NOW HIRING)

PlusAI

Perception Intern

Santa Clara, CA · On-site

$19 - $65/hr

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world ... Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ...

PlusAI

Perception Intern

Santa Clara, CA

$19 - $65/hr

Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world ... Develop and benchmark cutting-edge techniques in deep learning. * Collaborate with team members to ...

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Strong background in deep learning, large language models, and NLP techniques. Deep domain ...

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$212K - $318K/yr

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data ...

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How much do deep learning intern jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for deep learning intern in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What types of projects can a Deep Learning Intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

Which 5 jobs will survive AI?

Deep Learning Interns and other roles involving complex problem-solving, creativity, and emotional intelligence are likely to persist despite AI advancements. Jobs that require human judgment, interpersonal skills, and domain expertise—such as healthcare professionals, educators, skilled trades, researchers, and managers—are less susceptible to automation. Continuous learning and adapting to new tools like AI and machine learning are essential for job security in these fields.

Is 20 dollars an hour good for an internship?

For a Deep Learning Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require basic programming skills in Python and familiarity with machine learning frameworks. Internships often pay between minimum wage and $25 per hour, depending on the company, location, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating compensation.

What does a Deep Learning Intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Deep Learning Interns, tend to offer competitive salaries due to high demand for specialized skills such as programming, data analysis, and knowledge of frameworks like TensorFlow or PyTorch. Entry-level positions may have lower pay, but experienced ML professionals often earn above average salaries in the tech industry.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a Deep Learning Intern, these firms may offer opportunities in technology consulting or data analytics, often requiring strong technical skills and relevant coursework.
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What cities in California are hiring for Deep Learning Intern jobs? Cities in California with the most Deep Learning Intern job openings:
Deep Learning Intern jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Stockton, CA • On-site

Other

Posted 4 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply