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Apple Machine Learning Engineer Enterprise GenAI & United States, Washington, Seattle 647553360
Today
- Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience
- 2+ years of hands-on experience in machine learning and backend development in industry
- Experience with microservices architecture and distributed systems
- Experience in ML frameworks (PyTorch, JAX) for training, fine-tuning, and deploying ML/generative models at scale
- Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP, Azure) or on-prem infrastructure
- MS in Computer Science, Machine Learning, or a related quantitative field
- Deep expertise in one of Enterprise GenAI's critical domain, such as document-AI, LLM, agent, embedding, or search
- Contributions to major open-source ML frameworks or research communities
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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