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Entry Level Ai Developer Jobs in California (NOW HIRING)

SynergisticIT

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or ...

ZL Technologies

Entry-Level Accountant

Milpitas, CA · On-site

ZL's history of engineering and delivering large-scale solutions for managing enterprise data has ... AI. ZL Tech is an Equal Opportunity Employer and does not discriminate against any employee or ...

ZL Technologies

Entry-Level Accountant

Milpitas, CA

ZL's history of engineering and delivering large-scale solutions for managing enterprise data has ... AI. ZL Tech is an Equal Opportunity Employer and does not discriminate against any employee or ...

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Showing results 21-40

All JobsAi Developer JobsEntry Level Ai Developer JobsEntry Level Ai Developer Jobs in California

Entry Level Ai Developer information

See California salary details

$29.1K

$99K

$238.3K

How much do entry level ai developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level ai developer in California is $98,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $104,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level AI developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What types of projects and tasks can an entry level AI developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What does an entry level AI developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in California?

The most popular types of Ai Developer jobs in California are:

What are popular job titles related to Entry Level Ai Developer jobs in California?

For Entry Level Ai Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Developer jobs in California look for?

The top searched job categories for Entry Level Ai Developer jobs in California are:

What cities in California are hiring for Entry Level Ai Developer jobs?

Cities in California with the most Entry Level Ai Developer job openings:

Entry Level Ai Developer jobs near you
Infographic showing various Entry Level Ai Developer job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $98,952 per year, or $47.6 per hour.

Power Electronics - Electrical Engineer I

Shield AI

San Diego, CA

$81K - $122K/yr

Full-time, Part-time

Re-posted 7 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance.
 
We are looking for an entry-level Power Electronics Engineer who is excited to help bring X-BAT’s next-generation power systems to first flight. In this role, you will own a meaningful project directly tied to our power architecture critical path, while receiving direct mentorship from senior power and electrical engineers. We value first-principles thinking, hands-on engineering, and extreme ownership.
What you'll do:
  • Own a power electronics design that directly impacts X-BAT system performance and major flight test milestones, supported by a senior engineer who provides technical guidance and review.
  • Contribute to the full hardware lifecycle including concept development, modeling, worst-case analysis, schematic capture, simulation, prototyping, bring-up, verification, integration, and flight test support.
  • Design and analyze low-voltage and high-voltage power systems including DC-DC converters, inverters, motor controllers, battery systems, power distribution, and protection circuits.
  • Design systems across power ranges from <1 kW low-power loads to >10 kW high-power applications while balancing efficiency, thermal constraints, EMI/EMC performance, and reliability.
  • Partner with ECAD engineers on PCB layout for power density, thermal performance, EMI mitigation, and manufacturability.
  • Execute hands-on board bring-up, debug, root-cause analysis, and validation using oscilloscopes, power supplies, electronic loads, and other test equipment.
  • Support environmental, stress, and qualification testing (HALT, vibration, temperature cycling) for aerospace-grade reliability.
  • Collaborate closely with Mechanical, Embedded, Software, Production, and Aircraft teams to ensure robust system integration and clear interface ownership.
  • Drive disciplined engineering practices including documentation, risk reduction, and closing the loop between analysis and test results.
Required qualifications:
  • B.S. in Electrical Engineering or equivalent.
  • Strong technical fundamentals in circuits, electronics, and power systems.
  • Hands-on experience (coursework, labs, clubs, or internships) with power electronics such as converters, motor drivers, batteries, or high-power systems.
  • Familiarity with electrical design tools (Altium, KiCad, etc.).
  • Experience using lab equipment such as oscilloscopes, power supplies, e-loads, and multimeters.
  • Participation in an engineering team/club or hands-on project experience.
  • Ability to obtain a S//SAR level security clearance desired.
#LI-JM2
#LA

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.