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Apple Machine Learning Engineer United States, California, Cupertino 58842638
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RESPONSIBILITIES INCLUDE:- 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.
- 3+ 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.
- Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- 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.
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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