To be successful candidates will need a machine learning background proven software development skills a love of learning. They will also need to be able to collaborate with multi-functional teams including researchers engineers data scientists/analysts and product managers to help develop and implement machine learning algorithms and testing workflows.
Bachelorʼs degree in Computer Science Statistics Mathematics with equivalent experience.
5 years of related experience building high throughput scalable applications or building machine learning models.
Proficiency in one or more object-oriented programming languages such as Python Java C and experience building distributed systems.
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark SQL Snowflake/Hadoop etc.
Skilled in communication problem solving critical thinking Attention to detail data accuracy and quality of output.
PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science Statistics Mathematics etc).
Experience in Recommender Systems Personalization Search Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
Skilled in communication problem solving critical thinking.
Experience using Deep Learning Bandits Probabilistic Graphical Models or Reinforcement Learning in real applications a plus.
Experience with Spark TensorFlow Keras and PyTorch a plus
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