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Computer Science Artificial Intelligence Jobs in California

Member of Technical Staff

Palo Alto, CA · On-site

$324K - $396K/yr

Must have a Bachelor's degree in Computer Science, Artificial Intelligence, MachineLearning, Information Technology, or a related field, plus 5 years of progressive post-baccalaureate experience in ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field. * Proven track record in research and innovation ...

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Preferred Qualifications * Experience with generative AI and agentic architectures.

New

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Mandatory skills * At least 7 years of experience * Proven experience in developing ...

... Computer Science, Artificial Intelligence, Machine Learning, or a related field. At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the ...

Preferred Qualifications Experience working on search ranking, relevance, recommendation or information retrieval MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information ...

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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 Jul 13, 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.

Can AI take computer science jobs?

Artificial Intelligence (AI) can automate certain tasks within computer science roles, such as coding, data analysis, and system management, but it is unlikely to fully replace professionals in these positions. AI tools often require human oversight, programming, and interpretation, making computer science jobs still essential for development, maintenance, and ethical considerations.

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 models, and applying AI techniques across industries like healthcare, finance, and technology, often requiring knowledge of programming languages such as Python and tools like TensorFlow or PyTorch.

What is the salary of CS in AI?

The salary for a Computer Science professional working in Artificial Intelligence varies based on experience, location, and education, but entry-level AI roles typically start around $70,000 to $100,000 annually, with experienced specialists earning over $150,000. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow can influence compensation.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.
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 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:
Infographic showing various Computer Science Artificial Intelligence job openings in California as of July 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,885 per year, or $52.8 per hour.
Hybrid Visiting of Artificial Intelligence

Hybrid Visiting of Artificial Intelligence

DeVry University

San Jose, CA • On-site

Part-time

Retirement

Re-posted 19 days ago


DeVry University rating

8.2

Company rating: 8.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

120th of 553 rated colleges and universities


Job description

Position requires onsite teaching in the San Francisco Bay Area and a relevant Master's Degree.
DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Opportunity:
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.
  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:
  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and updates all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
  • Applicants must upload unofficial graduate-level transcripts with their application.
  • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
  • Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
  • Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
  • Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
  • Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
  • Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications:
  • Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
  • AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).
  • Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
  • Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
  • Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation.
  • Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.
  • Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis.
DeVry University offers benefit options for Visiting Professors, including:
  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

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