We’re looking for an AI Engineering Intern who is early in their career and eager to learn how real-world AI solutions are designed, built, and deployed. This intern will work closely with senior AI leaders on the hands-on development of scalable AI products, gaining exposure to the full AI lifecycle from data preparation and experimentation to evaluation, deployment, and continuous improvement, while building a strong foundation in Python, machine learning, and modern applied AI techniques.
We strive every day to exemplify our CLA values – curious, collaborative, transparent, inclusive, and reliable. We are looking for individuals who believe in accountability for one’s actions, take the initiative to make their vision a reality and place honesty, professionalism, conscientiousness and trust above all else.
CLA is dedicated to building a culture that welcomes different beliefs and perspectives, so we can truly know and help our clients, communities, and each other.
Our Irvine, CA is seeking an AI Engineer Intern.
Come and see for yourself!
PRIMARY RESPONSIBILITIES
Build reusable components for AI workflows under the guidance of senior team members
Prepare and transform data for machine learning, optimization, and LLM applications
Develop and test APIs, pipelines, notebooks, and backend services that support AI solutions
Run experiments, track results, and summarize findings in a clear and structured way
Support model evaluation, prompt evaluation, and error analysis
Help operationalize solutions through deployment packaging, logging, alerting, and basic monitoring
Debug issues across data, model, and application layers
Follow engineering best practices for code quality, testing, documentation, and security
Stay current on relevant Azure AI, Databricks, and applied AI tooling
MINIMUM REQUIREMENTS
Working towards the achievement of a Bachelor’s degree in computer science, data science, statistics, engineering, mathematics, or a related field strongly preferred
Basic understanding of cloud-based AI and data platforms (e.g., Azure AI services, Azure ML, Databricks)
Familiarity with common generative AI concepts such as prompt design, retrieval-augmented generation (RAG), and evaluations
Introductory awareness of MLOps concepts, including model lifecycle, deployment, and monitoring
General knowledge of vector search, document processing, and AI-enabled search workflows
Exposure to applied modeling concepts (e.g., time series or anomaly detection) and building simple APIs or backend services
Reliable transportation
Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range.
The compensation rate for this role in Irvine, CA is $36.40.
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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits click here.