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Apple Senior ML Architect United States, California, Cupertino 26647373
Yesterday
As a senior architect on the team, you will be responsible for design, technology selection and implementation of systems built to handle relentless streams of change signals associated with our global Places database. You will drive the platform and architectural choices to enable complex, agentic workflows for multi-modal information extraction, geospatial processing and data updates. You will own design trade-offs between throughput, latency and cost of keeping Places data as accurate as possible.
- 10+ years of experience in developing and deploying large scale, ML-centric systems and data pipelines on complex data domains in production settings.
- 5+ years of hands-on-experience with using ML models in production systems to ship customer-facing features. Experience in one or more of the following domains: Algorithms, Architecture, Artificial Intelligence, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, Machine Learning, Natural Language Processing, and Computer Vision.
- Strong foundational understanding of principles of distributed systems for large scale data processing; hands-on-experience with cloud platforms like AWS, GCP or Azure.
- Deep mastery of developing & supervising production code in Scala, Java or C++ using ML toolkits like PyTorch, TensorFlow, Scikit-learn.
- Familiarity with big data technologies like Spark, Solr/Lucene, Cassandra
- Proven ability to translate requirements from design to implementation, both independently and within larger teams.
- Demonstrated track record of making complex technical decisions and driving outcomes.
- Master's degree or equivalent experience in AI, Machine Learning, Mathematics, Computer Science, or a related field.
- PhD or Master's degree in AI, Machine Learning, Computer Science, Mathematics, or a related field.
- Experience in evaluating and deploying multiple search features, including large-scale machine learning models, deep learning, and natural language processing solutions.
- Experience with geospatial data is 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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