[Remote] Applied AI Intern
Note: The job is a remote job and is open to candidates in USA. Striim is a unified data integration and streaming platform that connects clouds, data, and applications. They are seeking an Applied AI Intern to explore the intersection of real-time data streaming and artificial intelligence, focusing on building prototypes and demonstrations that apply the latest advances in machine learning and generative AI to enterprise-scale data.
Responsibilities
- Research and review recent advancements in machine learning and AI, with a focus on time series analysis, anomaly detection, and generative AI
- Design and build exploratory prototypes that demonstrate how these methods can add value to real-time, high-velocity data environments
- Package prototypes into polished, demo-ready applications for both technical and non-technical audiences
- Document findings and share results across the organization to inform product direction and market positioning
- Collaborate with cross-functional teams to ensure prototypes align with Striim’s domain and customer use cases
Skills
- Currently pursuing a Master's or PhD in Computer Science, Data Science, Statistics, or a related field (exceptional undergraduates will also be considered)
- Strong foundation in machine learning, time series analysis, and generative AI
- Hands-on experience with Python and widely used ML/AI frameworks (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, sktime)
- Excellent written and verbal communication skills to present findings clearly to technical and non-technical stakeholders
- Familiarity with streaming data and real-time systems is a plus
- Curiosity, creativity, and an experimental mindset—able to translate ideas into functional prototypes quickly
Company Overview
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