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Apple Machine Learning Engineer United States, California, Cupertino 257256142
Today
To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You’ll mentor other MLE’s and lead an effort to build scalable end-to-end machine learning solutions for our retail customersRESPONSIBILITIES: - Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment - Contribute to the ongoing improvement of our ML infrastructure and tooling- Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering
- Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems
- Hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc)
- Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in coursework
- Understanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis)
- Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture
- 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
- Skilled in communication, problem solving, strategic thinking
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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