AI Engineering Intern: Build Scalable ML & LLM Platforms

Twgai; Santa Monica (CA); On-site; USD 59,000 - 80,000; Full time

Job summary

TWG Group Holdings, LLC invites an AI Engineering Intern to join our AI Engineering Team in Santa Monica, CA. You will architect and deploy ML and AI solutions, enabling fast training and inference while pioneering agentic systems and knowledge bases for persistent insights.

You will collaborate with research, product, and cross-functional teams to infuse the latest ML and generative AI advances into products and services, guiding cost reductions, new revenue, and market leadership while

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or related field.
• Experience in AI engineering, with ML model deployment and cloud AI/ML solutions.
• Experience leading integration and optimization of scalable ML models, data pipelines, and cloud infra.
• Strong ability to work with cross-functional teams to drive AI initiatives.

Responsibilities

• Assist in building agentic frameworks and RAG pipelines for data analysis and CV tasks.
• Collaborate with research, engineering, and product teams to integrate ML innovations.
• Support personalization features and exploration capabilities to boost engagement and metrics.
• Contribute to scalable frontend/backend design with best practices in code quality and testing.
• Help optimize models and data pipelines for production reliability.
• Develop and deploy AI workflows using Palantir Foundry/AIP with ontology modeling.

Skills

AI engineering

Cloud engineering

ML model deployment

Cross-functional collaboration

Education

Bachelor’s degree in CS/Engineering/Data Science

Master’s degree preferred

Job description

TWG Group Holdings, LLC invites an AI Engineering Intern to join our AI Engineering Team in Santa Monica, CA. You will architect and deploy ML and AI solutions, enabling fast training and inference while pioneering agentic systems and knowledge bases for persistent insights.

You will collaborate with research, product, and cross-functional teams to infuse the latest ML and generative AI advances into products and services, guiding cost reductions, new revenue, and market leadership while