Machine Learning Engineer

• Design, implement, and deploy machine learning algorithms.
• Manage machine learning algorithm lifecycle.
• Coordinate data collection and annotation efforts.
• Work with real-time data and content coming from various data sources.
• Manage machine learning data pipelines.
• Design tests for machine learning algorithm effectiveness and performance monitoring.
• Design tools and interfaces for interactive machine learning and teaching.
• Research and development on cutting-edge machine learning technologies.
• Graduate degree in Computer Science with a strong background in machine learning required.
• Strong problem-solving abilities, solid background in algorithms and data structures required.
• Strong programming skills in Python and Scala required.

in other programming languages (eg.

Java, R, Haskell) a plus.

• Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
• Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
• Experience with building and deploying API's with Docker and Kubernetes required.
• Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
• Experience with Elastic Search, Lucene a plus but not required.
• Experience with ranking algorithms a plus but not required.
• Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.