ZipRecruiter

Log In

1

Deep Learning Scientist Jobs in California (NOW HIRING)

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

Masters in Computer Science, Software Engineering, Mathematics, or equivalent * Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a ...

Expedia

Senior Machine Learning Scientist

San Jose, CA · On-site

$107K - $146K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Applies deep expertise in applied ML, Generative AI, and rigorous experimentation to design robust ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly reinforcement ...

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About the Deep Learning Team The Deep learning team's work is at the crux of Hayden AI's solutions ... Bachelors or Masters in Computer Science or related field * Nice to Have : Experience working in ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... A background in Computer Science, Mathematics, Electrical Engineering or a related field (BS, MS ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

For more information about Spotter, please visit Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

previous pagenext page

Showing results 21-40

All JobsDeep Learning Scientist JobsDeep Learning Scientist Jobs in California

Deep Learning Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do deep learning scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for deep learning scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a deep learning scientist?

Deep Learning Scientists are experts who design, develop, and implement advanced machine learning models inspired by the structure and function of the brain, known as artificial neural networks. They work with large datasets to train algorithms that can recognize patterns, make predictions, and solve complex problems in areas such as image recognition, natural language processing, and autonomous systems. Deep Learning Scientists often collaborate with software engineers, data scientists, and domain specialists to deploy models in real-world applications like healthcare, finance, and self-driving cars.

What are the key skills and qualifications needed to thrive as a deep learning scientist?

To thrive as a Deep Learning Scientist, you need a solid background in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and proficiency in Python are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex ideas clearly set outstanding candidates apart. These capabilities are essential for developing innovative AI solutions, interpreting results, and collaborating effectively in multidisciplinary teams.

What are some typical challenges faced when working as a deep learning scientist, and how can they be addressed?

Deep Learning Scientists often encounter challenges such as managing large datasets, tuning complex model architectures, and ensuring reproducibility of experiments. Handling these issues requires strong skills in data preprocessing, familiarity with version control systems, and experience with frameworks like TensorFlow or PyTorch. Collaborating closely with cross-functional teams—including data engineers, software developers, and domain experts—can also help in overcoming technical and project-related obstacles. Continuous learning and staying updated with the latest research is essential to excel in this rapidly evolving field.

What is the difference between Deep Learning Scientist vs Machine Learning Engineer?

AspectDeep Learning ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong background in deep learning frameworksBachelor's or Master's in Computer Science or related fields; proficiency in machine learning algorithms and software engineering
Work EnvironmentResearch-focused, experimental, often in R&D teamsDevelopment and deployment-focused, working on production systems
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, finance, healthcare, and industries deploying ML models

While both roles involve machine learning, Deep Learning Scientists focus on developing advanced neural network models and research, whereas Machine Learning Engineers implement, optimize, and deploy these models in real-world applications.

What are popular job titles related to Deep Learning Scientist jobs in California?

For Deep Learning Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Deep Learning Scientist jobs in California look for?

The top searched job categories for Deep Learning Scientist jobs in California are:

Deep Learning Scientist jobs near you
Infographic showing various Deep Learning Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Deep Learning Engineer

Palo Alto, CA • On-site

Matroid
Software Development • 11 - 50 employees
Learn more about Matroidexternal

$170K - $300K/yr

Full-time

Medical, Dental, Vision

Re-posted 18 days ago

Job description

About Matroid
Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and
deploy automated visual inspection on imagery including EO, IR, X-Ray, CT, OCT, and others.
Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers in manufacturing, industrial IoT, government and security.
We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will be working in a fast-paced environment, surrounded by experts who are passionate about their work.
This position is onsite at our downtown Palo Alto office, located near the Stanford campus and Caltrain.
What you'll do
  • Advance the computer vision and deep learning technology powering Matroid's computer vision platform
  • Keep on top of the latest developments and research in academic CV/DL and decide how we should apply them to our real world use-cases
  • Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and productionize

How you'll be doing it
  • Operating in a collaborative but highly autonomous environment where you are empowered to make an impact
  • Knowing that everything you build affects real-world users, with corresponding quality standards for your work
  • Collaborating with other DL engineers, as well as our other expert teams, including product, infrastructure, and field engineering

What you bring to the table
  • Masters in Computer Science, Software Engineering, Mathematics, or equivalent
  • Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs, or implement a video transformer model from scratch, or get realtime segmentation running on a tiny edge device, or train a massive industry-specific foundation model
  • 3+ years of industry and/or academic experience relating to software, deep learning and computer vision
  • Experience using and modifying state-of-the-art CV models and frameworks, with understanding of their theoretical underpinnings
  • Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models
  • Strong software engineering skills - you care deeply about the quality of your code
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills

Bonus points if...
  • Specialization in CV, artificial intelligence, machine learning, or related fields
  • Significant computer vision & deep learning academic and/or research experience
  • Prior work experience with applied computer vision in real-world use-cases
  • Cool personal projects, competitions, hackathons, etc. demonstrating your passion & expertise
  • Previous work at high-growth technology startups

What we offer in return
  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Regular tech talks to discuss the latest advances in CV, DL and engineering

Matroid is committed to creating a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Apply