Striim, (pronounced “stream” with two i’s for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity.
Striim is seeking an Applied AI Intern to join our team remotely. The successful candidate will play a key role in exploring the intersection of real-time data streaming and artificial intelligence. This position is hands-on and exploratory, focused on building prototypes and demonstrations that showcase how the latest advances in machine learning and generative AI can be applied to enterprise-scale, real-time data.
The Applied AI Intern will collaborate closely with engineers, product leaders, and data scientists to translate cutting-edge research into practical applications within the Striim platform. This internship offers the opportunity to influence Striim’s roadmap, contribute to high-impact demos, and gain exposure to enterprise-scale data challenges across industries.
LOCATION: Remote
DURATION: Projected End Date April 30, 2026
Striim values collaboration, communication, and innovation—whether across the room or across the globe! The Applied AI Intern will be an integral part of our team, working alongside engineers and researchers to create solutions that bridge research and real-world enterprise needs.
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.
Requirements
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).
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.
Excellent written and verbal communication skills to present findings clearly to technical and non-technical stakeholders.
Why Join as an Applied AI Intern at Striim
Work at the forefront of AI and real-time data—two of the fastest-growing areas in enterprise technology.
Focus on exploration and invention, not just incremental improvements.
Build prototypes that influence Striim’s future roadmap and product strategy.
Gain experience working with enterprise-scale data challenges across diverse industries.
Be part of a fast-moving, innovative environment where your work will have a visible and lasting impact.
Compensation: maximum 20 hours per week at $30/hour
Applications will be reviewed on a rolling basis and accepted until the position is filled.
Our company culture fosters entrepreneurship and nurtures our team members to grow with the company. Come join a Silicon Valley startup focused on delivering a product that’s loved by its customers and primed to be a core part of the cloud data stack.
We are an equal opportunity employer, and we value diversity at our company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.
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