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Deep Learning Engineer Jobs in California (NOW HIRING)

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

Deep Learning Field Engineer With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, w ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in California

Deep Learning Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do deep learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are the most commonly searched types of Deep Learning Engineer jobs in California? The most popular types of Deep Learning Engineer jobs in California are:
What are popular job titles related to Deep Learning Engineer jobs in California? For Deep Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in California look for? The top searched job categories for Deep Learning Engineer jobs in California are:
What cities in California are hiring for Deep Learning Engineer jobs? Cities in California with the most Deep Learning Engineer job openings:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in California as of June 2026, with employment types broken down into 11% Internship, 68% Full Time, and 21% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $114,347 per year, or $55 per hour.
Deep Learning Intern

Deep Learning Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Internship

Retirement

Posted 22 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.
Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world of autonomous vehicles delivering real-world impact. You'll dive into the heart of a state-of-the-art simulation pipeline and collaborate with industry experts as you train and fine-tune multimodal deep learning models.
Responsibilities:
  • Develop state of the art technologies to detect emergency vehicles using temporal sequence of camera images. 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 Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience
  • Software design and development experience in Python
  • Knowledge and/or experience with Machine Learning/Deep Learning
  • Experience in 3D computer vision

Preferred Skills:
  • Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation
  • Experience with 3D Vision
  • Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
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. 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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