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Deep Learning Engineer Jobs in California (NOW HIRING)

Toyon

Deep Learning Algorithm Developer

Goleta, CA

$120K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

They are seeking a Deep Learning Field Engineer to train and deploy CV models, integrate systems, and empower customers with CV solutions. Responsibilities : • Train state-of-the-art CV models ...

Skydio

Senior Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$63 - $81.25/hr

Required : • Demonstrated hands-on experience creating and deploying deep learning models • Experience curating synthetic and real-world image datasets • Solid software engineering foundation ...

pony.ai

(Senior) Software Engineer, Deep Learning

Fremont, CA · On-site

$140K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning including data collection and analysis, evaluation and feature engineering. * Expertise in C++/Python. * Strong communication skills and team spirit. Preferred Experience * PhD in Deep ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to ... deep learning architectures and algorithms • Excellent problem-solving and critical-thinking ...

pony.ai

(Senior) Software Engineer, Deep Learning

Fremont, CA

$140K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning including data collection and analysis, evaluation and feature engineering. * Expertise in C++/Python. * Strong communication skills and team spirit. Preferred Experience * PhD in Deep ...

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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 Aug 15, 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?

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 skills and qualifications does a deep learning engineer need?

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 does a deep learning engineer do?

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 August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Deep Learning Algorithm Developer

Toyon

Goleta, CA

$120K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required.


This position is in-person.


Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, and other application areas including platform control.

Requirements


Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience is required. 


WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!

  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance  
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Deep Learning Algorithm Developer position is $120,000 to $200,000.


The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment. 


Equal Opportunity Employer including Disability and Veterans  


Applicant Privacy Notice 


Learn more about our company in our latest video, We are Toyon. 


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