About Apple
Apple · Cupertino
Senior Machine Learning Manager, Apple Services Engineering AI/ML
7/1/2025
Description
This is a frontline management role, managing a team of Applied Researchers. You’ll shape both the technical and product direction, driving the integration of cutting-edge advancements in Machine Learning, Natural Language Processing, and Generative AI to transform how users discover Apple Media content across devices worldwide.
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.
Foster a culture of technical excellence, innovation, and collaboration.
Set team goals, manage project timelines, and ensure high-quality deliverables.
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.
Work closely with product managers, engineers, data science teams, and business stakeholders to align technical solutions with user needs.
Translate research breakthroughs into real-world applications that drive user and business value.
Encourage publishing, patenting, and collaboration with other AI/ML teams.
Drive experimentation with foundation models, retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and agentic workflows.
Qualifications
- 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.
Preferred Qualifications
- 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.
Benefits
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