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Deep Learning Scientist Jobs in California (NOW HIRING)

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County ... Expert with PyTorch and training and testing deep learning models* Familiarity with dataset ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ...

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Design deep learning and GenAI models to meet modeling requirements. * Implement modeling ...

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 ...

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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 Sep 3, 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, 75% Full Time, 23% 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 Scientist

1872 Consulting

Los Angeles, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
1872 Consulting is involved with creating innovative solutions using deep learning tailored to the needs of the product lines. They are seeking a Deep Learning Scientist to develop models, supervise engineers, publish research, and draft proposals in the fields of medical imaging or computer vision.
Responsibilities:
• Develop deep learning models and provide a layout of the R&D direction for both research and product engineers
• Supervise deep learning engineers in R&D experiments and product feature development
• Publish results in the top conferences and journals in the fields of medical imaging or computer vision
• Follow and present recent publications in the designated field and topics
• Draft research proposal, patent and supporting documents for clinical trials
Qualifications:
Required:
• PhD in computer science, statistics or related field
• Solid understanding and hands on experience with solving computer vision problems using deep learning
• Publications in top journals or conferences in the fields of computer vision or medical imaging.
• Strong passion or curiosity for artificial intelligence and the ability to learn fast
• Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged; work well in teams and communicate ideas clearly
Preferred:
• Prefer 3+ year(s) in using CNNs for classification, detection, segmentation, etc.
• Familiarity with videos or medical images is a plus
• Proficient with at least one major deep learning framework, preferably TensorFlow
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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