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Entry Level Artificial Intelligence Engineer Jobs in California

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

The AI Engineer is a developing professional role responsible for supporting the design ... Stay current on artificial intelligence, automation, Microsoft technologies, and relevant ...

SDET Engineer for Developing testing strategies and creating, maintaining and executing automatoed ... Artificial Intelligence QA Automation REST API Test Automation Swift UI Automation.

Showing results 41-60

Entry Level Artificial Intelligence Engineer information

See California salary details

$29.6K

$68.5K

$116.5K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for entry level artificial intelligence engineer in California is $68,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $77,500.00 per year, depending on experience, location, and employer.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in California?

The most popular types of Artificial Intelligence Engineer jobs in California are:

What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in California?

For Entry Level Artificial Intelligence Engineer jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Entry Level Artificial Intelligence Engineer jobs?

Cities in California with the most Entry Level Artificial Intelligence Engineer job openings:

Infographic showing various Entry Level Artificial Intelligence Engineer job openings in California as of August 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $68,454 per year, or $32.9 per hour.

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago


Job description

Company Description
Job Description
Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home
As a Member of Technical Staff, Machine Learning, you will build core ML components. The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. This position is 100% Remote.
Member of Technical Staff Responsibilities:
- Build and improve ML components across data, training, evaluation, and inference.
- Fine-tune and adapt models as part of larger production systems.
- Implement evaluation and testing to understand model behavior.
- Help build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship improvements iteratively and learn from real user feedback.
- Work closely with senior ML engineers and product teams.
- Work under real production constraints: latency, cost, reliability, and safety
Member of Technical Staff Outcomes:
- ML models in production meet expected accuracy, latency, and reliability targets.
- Production issues are identified quickly, debugged effectively, and root causes addressed.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- Iterations on models and systems are driven by real-world signals and measurable improvements.
Qualifications
Member of Technical Staff Qualifications:
- Strong foundations in machine learning and modern neural architectures.
- Artificial Intelligence (AI) experience required.
- Some hands-on experience training, fine-tuning, or deploying ML models.
- Comfortable writing production-quality code and learning new tools quickly.
- Curious, coachable, and eager to learn from real systems in production.
- Able to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: GPU, JAX, ML, Machine Learning, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Member of Technical Staff, GPU, JAX, Machine Learning, Member of Technical Staff, ML, Python, PyTorch, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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