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Entry Level Ai Engineer Jobs in California (NOW HIRING)

... buyer! Entry Level Software Engineer Why we need you We're at a pivotal moment with a roadmap ... AI-driven solutions. You'll work alongside experienced engineers to revolutionize the inbox ...

Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under ... Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact ...

Electrical Engineer I (SD)

San Diego, CA · On-site

$81K - $122K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are looking for an entry level Electrical Engineer that is ready to help us bring X-BAT to first ...

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Entry Level Ai Engineer information

See California salary details

$29.6K

$68.5K

$116.5K

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

As of Jul 30, 2026, the average yearly pay for entry level ai 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.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level AI Engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
What are the most commonly searched types of Ai Engineer jobs in California? The most popular types of Ai Engineer jobs in California are:
What are popular job titles related to Entry Level Ai Engineer jobs in California? For Entry Level Ai Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Engineer jobs in California look for? The top searched job categories for Entry Level Ai Engineer jobs in California are:
What cities in California are hiring for Entry Level Ai Engineer jobs? Cities in California with the most Entry Level Ai Engineer job openings:
Infographic showing various Entry Level Ai Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $68,454 per year, or $32.9 per hour.

AI Engineer Software (Level 2 or 3)

Northrop Grumman Corporation

El Segundo, CA

$103K - $142K/yr

Full-time

Medical, Life, PTO

Re-posted 14 days ago


Northrop Grumman rating

8.2

Company rating: 8.2 out of 10

Based on 357 frontline employees who took The Breakroom Quiz

86th of 536 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

This requisition may be filled at the Level 2 or Level 3 based on requirements listed below.

The Northrop Grumman Aeronautics Sector inSpace Park Redondo Beach/El Segundo, CAis seeking a highly motivatedAI SoftwareEngineer to join our team.Our AI team is growing and there is an opportunity to work closely with senior AI subject matter experts while simultaneously supporting the business. We are looking for a talented AI Software Engineer who can take small to medium sized projects from concept to production quickly with limited technical guidance. You will build and finetune RetrievalAugmented Generation (RAG) pipelines, Agentic AI pipelines, and large language model (LLM) solutions that solve concrete business problems. You will work closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services.Successful candidates will have demonstrated the ability to build AI solutions to solve customer problems. They will have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The selected candidates will work closely with AI engineers and business partners to accomplish the following:

  • Work with customers to define, develop, and deliver AI solutions to meet mission and sector needs.

  • Design, develop, document, test and debug applications software and systems that contain logical and mathematical solutions.

  • Collaborate with cross-functional teams to deploy machine learning algorithms for testing and is in production systems.

  • Maintain understanding of the cutting-edge technologies in AI/ML.

  • Regularly demonstrate progress to customers.

  • Rapid Prototyping & Delivery - Turn mediumpriority usecase specifications into working AI prototypes within 24 weeks and iterate to production quality.

  • RAG, Agentic AI, and LLM Development - Design and implement retrievalaugmented generation pipelines and agentic workflows integrating pretrained LLMs (e.g., GPT4/5/OSS, Llama) though APIs and self-hosted model deployments.

  • Model Integration - Embed finetuned models into existing microservice architectures (REST/GraphQL, gRPC) and expose them via APIs or internal SDKs.

  • Performance & Reliability - Set up monitoring, logging, and automated testing (unit, integration, latency) for AI services; troubleshoot model drift and latency issues.

  • Data Preparation - Collaborate with data engineers to curate, clean, and annotate domainspecific datasets for finetuning and evaluation.

  • Documentation & Knowledge Sharing - Write clear technical documentation, create example notebooks, and mentor junior teammates on AI best practices.

  • Continuous Improvement - Stay current with the latest LLM research, opensource tools, and industry trends; propose upgrades to the AI stack.

Basic Qualifications:

  • For level 2 consideration: Bachelor's degree in Computer Science or related STEM field and 2 years of relevant experience or Master's degree in Computer Science or related STEM field with relevant entry level experience

  • For Level 3 consideration: Bachelor's degree in Computer Science or related STEM degree and 5 years with Master's degree in Computer Science or related STEM field and 3 years of relevant experience

  • Entry level professional AI/software engineering experience; demonstrated ability to ship production-grade code

  • Ability to obtain and maintain final US Government Secret Clearance

  • Must have ability to obtain and maintain Program Access (PAR) within a reasonable period of time, as determined by the company to meet its business needs

  • Strong problemsolving skills and ability to work independently on moderately scoped projects.

  • Demonstrated ability to carry out rapid prototyping and proof-of-concept demonstrations using novel AI methods to solve real-world challenges.

  • Ability to effectively communicate system properties and results to technical staff as well as non-technical management and leadership stakeholders.

  • Proficiency in Python (including libraries such as PyTorch, Hugging Face Transformers, LangChain, LangGraph).

  • Familiarity with RAG and agentic AI concepts: vector stores (e.g., Pinecone, FAISS, Milvus), embeddings, similarity search, prompt engineering, function calling or tool use, structured outputs

  • Experience developing AI solutions using LLMs, Agentic AI, MLOps pipelines, Cloud services, ETL, evaluation of AI solution, services, containers and container orchestration

  • Handson experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

  • Understanding of software engineering best practices: version control (Git), CI/CD pipelines, automated testing, code reviews.

Preferred Qualifications:

  • Active and final US Government Secret Clearance

  • Ability to obtain and maintain a U.S. Government Top Secret security clearance (U.S. citizenship is a pre-requisite)

  • Experience working with DoD/DoW customer

  • Experience building and training large neural networks on custom datasets

  • Strong understanding of neural network fundamentals, including model architectures, loss functions, optimization, regularization, and evaluation methodologies

  • Experience with supervised learning, unsupervised learning, reinforcement learning, and statistical modeling

  • Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)

  • Experience working in Agile software development environment

  • Experience with leading teams and actively participating in the development of winning white papers and proposals for DoD customers

  • Familiarity with explainable AI, adversarial AI, responsible AI (NIST AI Risk Framework)

  • Familiarity with signal processing, information theory, topological data analysis, and/or genetic algorithms.

Primary Level Salary Range: $111,000.00 - $166,600.00Secondary Level Salary Range: $137,800.00 - $206,800.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939