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Apple Principal Applied Research Engineer/Scientist 
United States, West Virginia 
670002888

04.09.2025
In this role, you will be responsible for the entire ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll design high-performance ML models, create and influence ML tooling and infrastructure, drive evaluation efforts, and implement model inference solutions.Key Responsibilities:Drive data generation, curation, and evaluation efforts for ML systemsDevelop and optimize model inference solutionsRapidly prototype AI solutions that solve real-world problemsCommunicate and advocate for novel research directions to product-oriented leadershipInfluence modeling architecture decisions and translate research innovations into practical implementations
  • Experience bringing novel LLM-driven technologies from zero to one
  • Proven experience advancing the state of the art of machine learning through hands-on work in product development, prototyping, or research environments
  • Doctorate in Computer Science, Machine Learning, or related technical field, or equivalent practical experience
  • Deep technical expertise in transformer-based large language models (LLMs) and multi-modal foundation models that integrate text, visual, and audio encoders with cross-modal attention mechanisms
  • Experience across areas such as pre-training, fine-tuning, performance optimization, and safety alignment
  • Expertise in designing and implementing AI agents capable of complex reasoning, task planning, and autonomous decision-making in diverse environments
  • Forward-thinking creativity and curiosity about shaping AI capabilities into compelling product experiences that deliver genuine user value
  • Demonstrated ability to influence modeling architecture decisions and translate research innovations into practical, product-ready implementations
  • Strong collaborative skills with experience effectively communicating and advocating for novel research directions to product-oriented leadership