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Internship Computer Science Artificial Intelligence Jobs in California

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Internship Computer Science Artificial Intelligence information

What is the difference between Internship Computer Science Artificial Intelligence vs Internship Data Science?

AspectInternship Computer Science Artificial IntelligenceInternship Data Science
Required CredentialsComputer Science background, programming skills, basic AI knowledgeStatistics, programming, data analysis skills
Work EnvironmentResearch labs, tech companies, AI-focused teamsBusiness, finance, tech firms, data-driven departments
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data visualization
Search & Comparison IntentUnderstanding AI internship roles vs data science internshipsComparing data science internship opportunities with AI roles

Internship Computer Science Artificial Intelligence focuses on developing AI algorithms and machine learning models, often requiring programming and AI-specific knowledge. Internship Data Science emphasizes analyzing data, building predictive models, and deriving insights. While both involve programming and data skills, AI internships are more research and algorithm-oriented, whereas data science internships are more business and analysis-focused.

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 cities in California are hiring for Internship Computer Science Artificial Intelligence jobs? Cities in California with the most Internship Computer Science Artificial Intelligence job openings:
Internship Computer Science Artificial Intelligence jobs near you
Infographic showing various Internship Computer Science Artificial Intelligence job openings in California as of June 2026, with employment types broken down into 17% Internship, 49% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution.

IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Cupertino, CA • On-site

$65/hr

Other

Re-posted 5 days ago

Job description

Request-ID:120402-1- IT - Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL
Client: Apple
Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing
Max Hourly Pay Rate to the candidate?: $65 /Hr on W2
Do you have a preferred interview schedule?: Yes
Would you require the candidates to meet you for an in-person interview?: No
Is Skype/WebEx interview, OK?: Yes
Work Location with ZIP: Cupertino CA-95014
Is remote work an option?: No
If remote work, please indicate how many days are required to be in the office and remote: 3 days in a week required to be in the office
Chance to be perm?: Yes
Performance Expectations:
Technical Hiring Criteria (Must Haves)
• Top 3 Required skills: Artificial Intelligence, Program Management , Platform Engineer
• Years of experience in each of the must-have skills: 7+ Years
• Any Certifications required: No
Any additional information you would like to share about the project specs/nature of work: NA
Job Description:
AI-Based Engineering Program Manager (EPM)
Lead as EPM DRI for a high-impact Sales & Trends migration program, driving cross-functional execution across engineering, data science, and analytics teams
Manage AI/ML-driven data science and customer-facing analytics programs, ensuring scalable, reliable, and high-quality delivery
Drive execution rigor through roadmaps, status reporting, QBRs, and executive communications
Partner across teams to navigate complex, fast-paced, and ambiguous environments while aligning dependencies and stakeholders
Apply strong technical understanding of data, analytics, and AI/ML systems to guide decisions, identify risks, and ensure program success
Bring a data-first mindset-understanding data meaning, transformations, and impact on metrics, analytics, and AI model outcomes
Minimum Qualification -
8+ years of software development or machine learning experience.
M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
4+ years of experience in a technical leadership role.
Strong programming skills in Python and applied experience with a range of LLMs.
Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
Hands-on experience developing, deploying, and operating AI agents in production.
Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
Preferred Qualification -
A portfolio of deployed agentic systems that have delivered significant, measurable impact.
Experience in evaluation frameworks for AI agents.
Proven expertise in optimizing AI agents for latency, scalability, and cost.
A track record of thought leadership or contributions to the field of agentic AI.

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