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Deep Learning Intern Jobs in California (NOW HIRING)

D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions). * A deep understanding of frontier autoregressive and ...

The intern will also have the opportunity to reshape Samaya's key product roadmap using their ... Strong background in deep learning, large language models, and NLP techniques. Deep domain ...

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

We are looking for an entry-level engineer or intern to support the optimization and deployment of ... This role is a strong fit for candidates who are excited about deep learning systems, model ...

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Deep Learning Intern information

See California salary details

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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.
What are the most commonly searched types of Deep Learning jobs in California? The most popular types of Deep Learning jobs in California are:
What cities in California are hiring for Deep Learning Intern jobs? Cities in California with the most Deep Learning Intern job openings:
Reinforcement Learning Planning Research Intern

Reinforcement Learning Planning Research Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Other

Retirement

Posted 4 days ago


Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Autonomous vehicles (AVs) need to navigate complex environments not just smoothly, but with absolute safety. While traditional planners handle standard driving behavior, edge-case scenarios and sudden environmental changes require an unyielding safety net.

This summer, you will own the development of a Safety-Critical Trajectory Correction (STC) module. Acting as a real-time safety overlay, the STC will function as a fallback mechanism that intercepts and minimally perturbs intended trajectories when collision risks are detected. You will design, train, and validate this architecture using Deep Reinforcement Learning to provide a continuous, constrained safety barrier for our vehicle fleet.
Responsibilities
  • Conduct groundbreaking research with the potential to strongly impact Plus's autonomous driving products, leading to publishable results. Key focus area for this internship will be reinforcement learning to generate safe trajectories for autonomous driving.
  • Develop and benchmark cutting-edge techniques in deep learning. 
  • Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.
Required Skills:
  • Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
  • Thorough understanding of reinforcement learning
  • 1-2 years experience with implementing and training models in at least one deep learning framework (PyTorch, Tensorflow, Jax
Preferred Skills:
  • Past experiences in design, implementation and training of deep reinforcement learning models
  • Past experiences in projects related to autonomous driving 
$19 - $65 an hour
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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