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Entry Level Ai Computer Science Jobs in Torrance, CA

Intratek Computer, Inc.

AI Developer

Los Angeles, CA · On-site

$100 - $130/hr

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Master's degree preferred. * Minimum of 3 years of experience in AI development, specifically with ...

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Relativity Space

AI Software Engineer

Long Beach, CA

Strong computer science foundations: data structures, algorithms, systems, and clean, testable code * Hands-on experience building with large language models, whether through coursework, projects, or ...

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All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in Torrance, CA

Entry Level Ai Computer Science information

See Torrance, CA salary details

$30.8K

$104.7K

$252.2K

How much do entry level ai computer science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level ai computer science in Torrance, CA is $104,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $110,700.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

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 do entry level AI computer science professionals do?

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 key skills and qualifications needed to thrive as an entry level AI computer scientist?

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 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 job categories do people searching Entry Level Ai Computer Science jobs in Torrance, CA look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Torrance, CA are:

What cities near Torrance, CA are hiring for Entry Level Ai Computer Science jobs?

Cities near Torrance, CA 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 Torrance, CA as of August 2026, with employment types broken down into 11% Internship, 50% Full Time, and 39% Part Time. Highlights an 83% In-person, 11% Hybrid, and 6% Remote job distribution, with an average salary of $104,698 per year, or $50.3 per hour.

AI Research Scientist -- Agentic AI for Materials Discovery

Meta

Pasadena, CA • On-site

$184K/yr

Full-time

Re-posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
  • Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
  • Build specialized AI sub-agents that operate within a closed-loop discovery framework
  • Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
  • Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
  • Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
  • Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
  • Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
  • 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
  • Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
  • Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
  • Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:
  • Experience building multi-agent or LLM-orchestrated systems for scientific applications
  • Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
  • Publications at peer-reviewed ML or domain conferences
  • Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
  • Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
  • Experience with HPC job orchestration

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.
$184,000/year to $257,000/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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