Nokia
Overview
Position:
AI R&D Engineering Co-op Number of Positions:
1 Duration:
4 months Dates:
15th Jan - 15th May (tentatively) Location:
Sunnyvale (On-site or Hybrid)
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.
Qualifications
Experience with:
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.
Responsibilities
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.
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AI R&D Engineering Co-op Number of Positions:
1 Duration:
4 months Dates:
15th Jan - 15th May (tentatively) Location:
Sunnyvale (On-site or Hybrid)
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.
Qualifications
Experience with:
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.
Responsibilities
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.
#J-18808-Ljbffr