The AI R&D Engineer Coop will design, develop, and deploy AI/ML models, optimize existing models, and implement machine learning frameworks.
Number of Position(s): 1
Duration: 4 Months
Date: Sept 8 - Dec 18, 2026
Location: Onsite in Sunnyvale, CA
Education Recommendations:
Currently a candidate for a Master’s or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
- Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
- Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more.
- Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more.
- Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
- Machine learning, optimization algorithms, and deep-learning techniques.
- Machine learning frameworks (e.g., TensorFlow, PyTorch).
- Search engines and vector databases, along with their underlying algorithms.
- Big data frameworks and technologies such as Spark, Kafka, and Cassandra.
- Excellent communication skills and is a team player.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
