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Entry Level Ai Computer Science Jobs in California

Intuit

Manager 2, AI Science

San Diego, CA

$211K - $285K/yr

Qualifications * BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics ... Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

Qualifications * BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics ... Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

Qualifications * BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics ... Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and ...

BRM.ai

Entry Level Software Engineer

San Francisco, CA · On-site

... AI-driven solutions. You'll work alongside experienced engineers to revolutionize the inbox ... Recent graduate (within 3 years) with a degree in Computer Science, Engineering, or related field ...

Unisco

AI Inventory Support Specialist

Buena Park, CA · On-site

$30 - $35/hr

Minimum 1 year of hands-on experience building and deploying AI automation solutions (no entry-level candidates). * Bachelor's degree in Computer Science or a related field. * Full-stack development ...

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Entry Level Ai Computer Science information

What are entry level AI computer science jobs?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

Is AI taking entry-level computer science jobs?

Entry-level AI and computer science roles are growing as demand for AI skills, programming, and data analysis increases. However, these jobs typically require foundational knowledge in programming languages like Python, machine learning frameworks, and problem-solving skills, making them accessible to recent graduates with relevant training. Competition exists, but acquiring practical experience and certifications can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level AI Computer Scientist, and why are they important?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, machine learning technician, data analyst, and research assistant, often requiring knowledge of programming languages like Python and familiarity with machine learning frameworks. These positions typically involve supporting AI development, data preprocessing, and model testing, and may require a bachelor's degree in computer science or related fields. Internships and apprenticeships in AI are also valuable starting points for gaining practical experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects. These roles usually involve leadership, strategic planning, and expertise in tools like deep learning frameworks and data analysis. Compensation at this level reflects the value of specialized knowledge and impact on business outcomes.

Can I get an AI job with no experience?

Entry-level AI jobs often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is beneficial, candidates can improve their chances by completing online courses, certifications, or personal projects to demonstrate their skills. Employers may also consider internships or apprenticeships for those new to the field.

What are some typical projects or tasks an entry-level AI computer science professional might work on during their first year?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.
What are the most commonly searched types of Ai Computer Science jobs in California? The most popular types of Ai Computer Science jobs in California are:
What are popular job titles related to Entry Level Ai Computer Science jobs in California? For Entry Level Ai Computer Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Computer Science jobs in California look for? The top searched job categories for Entry Level Ai Computer Science jobs in California are:
What cities in California are hiring for Entry Level Ai Computer Science jobs? Cities in California with the most Entry Level Ai Computer Science job openings:
Entry Level Ai Computer Science jobs near you
Infographic showing various Entry Level Ai Computer Science job openings in California as of July 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.
Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute for Research on Aging

Novato, CA • On-site

$80K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Position Summary
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
The successful candidate will join a highly collaborative, multidisciplinary team that brings together expertise in biology, biophysics, computer science, artificial intelligence, and other quantitative disciplines. This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data.
This position is 100% on site.
About the Zhou Lab
Our team is intentionally multidisciplinary, bringing together researchers from biology, biophysics, computer science, AI, and other quantitative fields. We see this cross-disciplinary environment as a significant strength, creating opportunities for shared learning, creative problem-solving, and innovation that would be less likely to emerge within a single field alone.
Candidates from pure computational science backgrounds (with or without prior experience in bioinformatics) are encouraged to apply. Our lab has the experience of training CS background students to work on biological questions, as our dataset is either images or texts. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Recent example of our work:
The Spatiotemporal Proteome Landscape of Aging: Structural determinants of Age-Sensitive Proteome Remodeling (bioRxiv, 2026).
Responsibilities
  • Develop and apply advanced AI and machine learning methods to research questions in aging biology.
  • Design, build, and optimize computational approaches for large-scale image and biological data analysis.
  • Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
  • Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
  • Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
  • Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
  • Contribute to a collaborative and intellectually engaged research environment.
Required Qualifications
  • BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
  • Strong experience in one or more of the following areas:
    • Computer vision
    • Image recognition and segmentation
    • Deep learning
    • Generative AI
    • Diffusion models
    • Multimodal or foundation-model approaches
  • Demonstrated experience developing computational methods and analyzing complex datasets
  • Strong quantitative, analytical, and programming skills
  • Ability to work independently and collaboratively in a multidisciplinary research setting
  • Strong verbal and written communication skills
Preferred Qualifications
  • Experience with biological, biomedical, or microscopy imaging data
  • Experience working in interdisciplinary research environments
  • Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
  • Publication record, open-source contributions, relevant research, project, or code portfolio
Compensation & Benefits
  • $80,000 to $130,000 depending on skills and experience
  • Comprehensive benefits including medical/dental/vision coverage, paid time off, paid parental leave, 401(k) employer contribution, and a student debt repayment option.
About the Buck
The Buck Institute for Research on Aging is the first independent biomedical research institute in the United States devoted solely to research on aging. Located in Novato, California, the Buck brings together scientists across multiple disciplines to study the mechanisms of aging and age-related disease, to help people live better, longer.
The Buck Institute is an equal opportunity employer. We strongly encourage applications from candidates whose experiences and perspectives will contribute to the diversity and excellence of our community.
To Apply
Please submit:
  • a curriculum vitae or resume,
  • a brief statement of interest, and
  • any relevant publications, projects, or code.

Apply