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Entry Level Ai Computer Science Jobs in California

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K - $217K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • A PhD in AI, computer science, data science, or related technical fields • 2+ years of ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K/yr

A PhD in AI, computer science, data science, or related technical fields * 2+ years of industry or equivalent PostDoctoral experience in relevant research areas, such as: machine learning ...

Apple

AI/ML Computer Vision Algorithm Engineer

Cupertino, CA · On-site

$137K - $162K/yr

This individual will play a key role in developing a new generation AI/ML based computer vision ... Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science or related ...

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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 Research Scientist, Audio-Visual Understanding, FAIR

AI Research Scientist, Audio-Visual Understanding, FAIR

Meta

Menlo Park, CA • On-site, Remote

$154K/yr

Full-time

Posted 29 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 188 rated software companies

Job description

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities.
AI Research Scientist, Audio-Visual Understanding, FAIR Responsibilities:
  • Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception
  • Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs
  • Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions
  • Train and optimize state-of-the-art machine learning and neural network methodologies
  • Conduct and collaborate on research projects within a globally-based team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A PhD in AI, computer science, data science, or related technical fields
  • Experience holding an industry, postdoctoral, faculty, or government researcher position
  • Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas
  • Research publications reflecting experience in theoretical or empirical research
  • Experience in developing and debugging in Python or similar programming languages
  • Experience in analyzing and collecting data from various sources
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with audio-visual learning or multimodal fusion techniques
  • Familiarity with human action recognition, social signal processing, or human-centric video understanding
  • Experience with long-form video understanding, video-language models, or streaming perception systems
  • Experience with vision-language models (VLMs) such as LLaVA, GPT-4V, Gemini, or similar architectures
  • Experience with temporal modeling, video transformers, or recurrent architectures for sequential data

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.
$154,000/year to $217,000/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.

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