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Apple Senior Machine Learning Manager Apple Services Engineering AI/ML United States, California, Cupertino 183003361
09.07.2025
You’ll be joining a team with deep expertise in Information Retrieval, Machine Learning, Language Modeling, Generative AI, Data Mining, and Distributed Computing technologies such as Hadoop, Scala, and Spark.You will use data driven analysis to generate ideas, evaluate and prioritize features, and conduct A/B tests to ensure we objectively measure improvements. You will ensure successful delivery of features, code, data, and models into production. Collaboration will be key, you will work with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expectations globally, in languages from Arabic to Vietnamese and everything in between! KEY RESPONSIBILITIES:Lead and mentor ML researchers and engineers.Stay ahead of advancements in LLMs, transformer architectures, and multimodal models.Evaluate and adopt cutting-edge models, toolkits, and frameworks.Oversee end-to-end development of NLP and GenAI models: from data collection and preprocessing to training, evaluation, and deployment.Guide implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.Ensure responsible AI practices including model fairness, bias mitigation, and explainability.Drive experimentation with foundation models, retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and agentic workflows.
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, Computational Linguistics, or related field.
- 7+ years of experience in AI/ML, with 3+ years in leadership roles.
- Track record of leading engineering teams from exploration & design to implementation, ensuring scalability and reliability.
- Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar.
- Deep understanding of modern ML architectures, pipelines, and evaluation techniques at scale.
- Excellent communication, stakeholder management, and leadership skills.
- 10+ years in AI/ML, including 5+ years in leadership roles.
- Experience in building or fine-tuning large-scale foundation models.
- Familiarity with agentic workflows, RAG, vector databases (e.g., FAISS, Pinecone), and knowledge graphs.
- Passion for building core capabilities and driving collaboration and reuse.
- Contributions to open-source ML/NLP projects or relevant research publications in well known conferences.
- Proven ability to recruit and mentor high-performing, collaborative teams.
- Skilled in making strategic trade-offs to enable long-term progress.
- Deep technical expertise and experience applying AI/ML at scale.
- Able to connect technical decisions to real-world user impact.
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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