ZipRecruiter

Log In

1

Computer Science Artificial Intelligence Jobs in California

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Experience working on search ranking, relevance ...

next page

Showing results 1-20

All JobsComputer Science Artificial Intelligence JobsComputer Science Artificial Intelligence Jobs in California

Computer Science Artificial Intelligence information

See California salary details

$49.8K

$109.9K

$135.7K

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

As of Jun 15, 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.

Which 3 jobs will survive AI?

In the field of computer science and artificial intelligence, roles such as AI ethicists, AI system trainers, and cybersecurity specialists are expected to persist as AI advances. These jobs require human judgment, oversight, and specialized skills that are difficult to automate fully.

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 the Computer Science Artificial Intelligence position, 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.

What can you do with a computer science degree in AI?

A computer science degree in AI prepares individuals for roles such as AI engineer, machine learning engineer, data scientist, or research scientist. These roles involve developing algorithms, building intelligent systems, and working with tools like Python, TensorFlow, and neural networks to solve complex problems across industries like healthcare, finance, and technology.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning executives, or specialized data scientists, often in large tech companies or startups. These roles usually require advanced skills in deep learning, programming, and data analysis, along with significant experience and sometimes leadership responsibilities.

What is the salary of CS in AI?

The salary for a Computer Science professional specializing in Artificial Intelligence typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI engineers with advanced skills in machine learning and deep learning can earn higher salaries, especially in tech hubs.

What is a Computer Science Artificial Intelligence job?

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 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 June 2026, with employment types broken down into 29% Internship, 57% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,885 per year, or $52.8 per hour.
Research Scientist, Artificial Intelligence

Research Scientist, Artificial Intelligence

Meta

Menlo Park, CA

$122K/yr

Full-time

Posted 25 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

121st of 190 rated software companies

Job description

Meta is seeking a Research Scientist to join Meta Superintelligence Labs (MSL). The position is with Fundamental AI Research (FAIR), AI research lab developing new architectures, capabilities and training paradigms to advance the frontier of AI. Researchers will drive impact by building the next generation of frontier agentic systems and products that connect billions of users, while contributing high quality code and reproducible results to the open source community. There is also an opportunity to publish state-of-the-art research. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting-edge technology, resources, and research facilities.
Research Scientist, Artificial Intelligence Responsibilities:
  • Perform research to advance the science and the technology of intelligent machines
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Influence the progress of relevant research communities by producing publications
  • Open-source high-quality code and generate reproducible science

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • First-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, ACL, EMNLP, and other venues, reflecting experience in machine learning
  • Research background in machine learning, artificial intelligence, theoretical physics, applied mathematics, or related areas
  • Proficiency in Python and deep learning frameworks such as PyTorch or comparable tools, with experience utilizing AI-powered coding assistants in development workflows
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Currently has, or is in the process of obtaining a PhD in Computer Science, Applied Mathematics, Theoretical Physics, or a relevant technical field
  • Experience with large-scale model training, including distributed training strategies, mixed-precision training, or efficient fine-tuning methods such as parameter-efficient adaptation techniques
  • Experience collaborating with product or engineering teams to transition research prototypes into deployed AI systems at scale
  • Track record of contributing to peer-reviewed AI research publications or open-source machine learning projects
  • Familiarity with generative AI systems, including language model pre-training, instruction tuning, reinforcement learning from human feedback, or multimodal architectures

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply