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Computer Science Artificial Intelligence Jobs in California

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Computer Science Artificial Intelligence information

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$49.8K

$109.9K

$135.7K

How much do computer science artificial intelligence jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computer science artificial intelligence in California is $109,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $135,200.00 per year, depending on experience, location, and employer.

What is a computer science artificial intelligence?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What does a typical day look like for someone working in computer science artificial intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in computer science artificial intelligence, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, healthcare, finance, and autonomous vehicles actively hiring for these positions.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in California?

The most popular types of Computer Science Artificial Intelligence jobs in California are:

What are popular job titles related to Computer Science Artificial Intelligence jobs in California?

For Computer Science Artificial Intelligence jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Artificial Intelligence jobs in California look for?

The top searched job categories for Computer Science Artificial Intelligence jobs in California are:

What cities in California are hiring for Computer Science Artificial Intelligence jobs?

Cities in California with the most Computer Science Artificial Intelligence job openings:

Computer Science Artificial Intelligence jobs near you
Infographic showing various Computer Science Artificial Intelligence job openings in California as of August 2026, with employment types broken down into 11% Internship, and 89% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,885 per year, or $52.8 per hour.

Artificial Intelligence Scientist IV

504 CGCG-US CG Companies Global-US

Los Angeles, CA • On-site

$150 - $210/hr

Other

Medical, Retirement

Posted 27 days ago

Job description

Artificial Intelligence Scientist IV

As an Artificial Intelligence Scientist IV, you will play a pivotal role in shaping the future of AI at Capital Group and help establish the GenAI strategy for the Client Group. Your expertise in deep neural networks and generative AI will be instrumental in bringing visionary solutions to life, delivering groundbreaking applications across the asset management industry.

Responsibilities

• Research and develop scalable applications using large language models (LLMs) and Agentic AI, such as conversational assistants that retrieve information about mutual fund products or market insights and guide clients through investment decisions.

• Provide thought leadership in discussions with product and technical leaders to transform business and product visions into groundbreaking AI applications that keep Capital Group as a leader in asset management.

• Analyze behavioral data, market news, and economic trends to personalize investment outcomes and develop AI tools that help sales, marketing, and service teams offer relevant solutions to financial advisors.

• Design and review AI solutions with a focus on excellence, scalability, and best practices for data management, model development, and evaluation to ensure the highest quality outcomes.

• Drive AI research and innovation, collaborate with other scientists and engineers, publish new industry‑leading ideas, and mentor a talented team of applied scientists.

Qualifications

• MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. PhD preferred.

• Minimum 10 years of relevant work experience, including asset management industry experience or research in a lab.

• Practical experience with recent advancements in LLMs and generative AI, including RAG, parameter‑efficient fine‑tuning, instruction fine‑tuning, advanced prompt engineering, and Agentic AI frameworks.

• Deep technical knowledge of machine learning and deep learning architectures such as Transformers, training methodologies, and optimization techniques.

• Demonstrated ability to apply cutting‑edge academic research to solve complex business challenges and successfully bring innovative solutions into production.

• Proven collaboration with software engineering teams and contributions to research communities, preferably with published papers or blog articles.

Benefits

• Competitive base salary, annual performance bonus, and annual profitability bonus.

• Retirement plan with Capital contributing 15% of eligible earnings.

• Generous health and time‑away benefits from day one, flexible work options, and professional development resources.

• 2‑for‑1 matching gifts for charitable contributions.

Equal Opportunity Employer

We are an equal‑opportunity employer and comply with all federal, state, and local non‑discrimination laws. Capital Group prohibits unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth, related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, and any other protected characteristic under applicable law.

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