Full Time
Posted 1 year ago
  • Have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems
  • Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, NLP, content understanding or, multi-modal machine learning
  • Strong programming skills in Python and a deep understanding of data structures and algorithms
  • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/ PyTorch/MXNet)
  • ML: LightGBM, XGBoost, DVC, Weights & Biases
  • Deployment: Docker, Kubernetes, AWS
  • Datastores: Postgres, SQLite, S3, Elasticsearch
  • Work in a cross-functional team of ML engineers, Product Managers, Designers, and Backend & Frontend engineers who are passionate about their product
  • Deploy ML model pipelines, scale through Big Data, optimize performance
  • Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Masters’s degree or higher preferred).
  • Product development experience in consumer-focused companies
  • A Technical experience as a software developer, or a related role
  • Strong Computer Science fundamentals in object-oriented design, data structures, algorithms, algorithm design, problem-solving, and complexity analysis

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