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Entry Level Artificial Intelligence Engineer Jobs in California

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Entry Level Artificial Intelligence Engineer information

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$29.6K

$68.5K

$116.5K

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

As of Aug 13, 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.

Artificial Intelligence Engineer

Innovaccer Analytics

San Francisco, CA

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

New


Job description

About the Role
We are looking for an AI Engineer to join our growing AI team and help build intelligent, production-grade AI systems that solve complex problems at scale.

In this role, you will work closely with product, engineering, and data teams to design, develop, and deploy AI-powered applications, including LLM-based solutions, AI agents, retrieval-augmented generation (RAG), and intelligent automation workflows.

The ideal candidate is hands-on, highly curious, and comfortable working across the full AI development lifecycle-from experimentation and prototyping to production deployment and optimization.

A Day in the Life

  • You take an idea from paper to prototype to production. If you have only ever done one of those three, this role will stretch you, and we are fine with that if the rest is strong.
  • You can build the model layer of a real product, not just a model. That means choosing model sizes, composing several models into a working system, and holding a product-level accuracy bar.
  • You write real code. Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow.
  • You design experiments. You state the hypothesis, run the ablation, and report the result that disagrees with you.
  • You measure things. You are suspicious of results that look good, and you build the eval before you build the model.
  • You read current research and can tell the difference between a technique that will hold up and one that will not.
  • You explain your work to people who are not AI engineers, including clinicians and operators who will tell you when your output is wrong.

What You Need

  • MS or PhD in Computer Science, Machine Learning, or a related quantitative field. Exceptional BS candidates with substantial research or open-source work will be considered.
  • Depth beyond coursework: first-author publications at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar; meaningful open-source ML contributions; a research internship at an AI lab; or models you trained and shipped that people actually used.
  • You have fine-tuned an open-weight model yourself, understand the difference between parameter-efficient and full fine-tuning, and can explain why you chose one.
  • Strong Python and PyTorch. Familiarity with the current training and serving stack (HuggingFace, FSDP or DeepSpeed, vLLM or SGLang, or equivalents).
  • Some exposure to multi-GPU training, even at lab scale. You should know what a sharding strategy is and why it matters.
  • Evidence you can finish things.

We offer competitive benefits to set you up for success in and outside of work.

Here's What We Offer

  • Generous PTO Benefits: Enjoy PTO benefit accrual of 20 days per year.
  • Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition.
  • Rewards & Recognition: Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance. Unlock your potential and be rewarded generously with both monetary incentives and widespread recognition for your dedication and outstanding performance.
  • Insurance Benefits: We offer medical, dental, and vision benefits along with 100% company-sponsored short and long-term disability and basic life insurance. Legal aid and pet insurance options are available at a discounted rate.

Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered.

Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.


About Innovaccer

Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure- extending the human touch in healthcare. For more information, visit www.innovaccer.com.

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