Translate cutting-edge research into production-ready machine learning systems, design and deploy end-to-end ML models and pipelines, and build low-latency, real-time inference systems and scalable ML infrastructure.

Requirements

  • MS/PhD in Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in Python
  • Proficiency in Java, C++, or Scala
  • Strong understanding of multi-threading and memory management
  • Solid knowledge of ML architectures: CNNs, RNNs (LSTM/GRU), and Transformers
  • Experience with PyTorch or TensorFlow
  • Experience building end-to-end ML deployment and inference systems
  • Experience handling large-scale data using tools like Spark
  • Experience deploying ML models in cloud environments (AWS preferred)
  • Experience with experiment tracking systems and ML workflows