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Entry Level Ai Computer Science Jobs in California

Meta

Research Engineer, Monetization AI

Sunnyvale, CA · On-site

$121K - $181K/yr

Degree must be completed prior to joining Meta • Bachelor's degree in Computer Science, Computer ... PhD in AI, computer science, data science, or related technical fields • First author ...

Meta

AI Research Engineer, FAIR Chemistry

Menlo Park, CA · On-site

$121K - $181K/yr

... in AI, computer science, data science, science/engineering, or related technical fields • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent ...

Meta

Research Engineer, Monetization AI

Sunnyvale, CA · On-site

$183K - $257K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... AI, Computer Science, Data Science, or related technical fields • Master's degree in Computer ...

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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.

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 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 June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

AI/Robotics Product Manager

Hyphen Connect Limited

San Francisco, CA • On-site

Full-time

Posted 17 days ago

Job description

We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.
Responsibilities:
  • Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
  • Define safety, usability, and performance metrics for the engineering teams.
  • Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
  • Lead cross-functional teams to ensure successful product delivery.
  • Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:
  • Technical background in AI, computer science, or engineering.
  • Proven experience shipping complex hardware or deep-tech software products.
  • Exceptional ability to communicate complex concepts to both engineers and stakeholders.
  • Strong analytical skills and a data-driven decision-making approach.

Apply