Machine Learning Engineer

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 cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows. Minimum Qualifications 4+ 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, strategic thinking Attention to detail, data accuracy and quality of output Preferred Qualifications PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelorʼs degree with equivalent experience. Experience in Search, Recommender Systems, Personalization, 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