Number of Position(s): 1

Duration: 4 Months

Date: May 11 - August 21, 2026
Location: Onsite

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.

• Experience with: Machine learning, optimization algorithms, and deep-learning techniques.
• Machine learning frameworks (e.g., Tensor Flow, Py Torch).
• 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.

As part of our team, you will:

• 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.