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Apple Senior Machine Learning Applied Researcher United States, Washington, Seattle 439992588
21.04.2025
The work spans a broad range of modeling techniques—from XGBoost models used in financial risk scoring, to transformer-based architectures for personalization, and LLM-powered components integrated into user-facing systems. However, this is not a dedicated LLM fine-tuning role—while experience with LLMs is valued, this role requires practical experience in applying a variety of ML approaches to real-world problems at scale.
In this role, you will:- Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies.- Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions.
- Ph.D. in Machine Learning, Computer Science, Mathematics, Statistics, or a related field, or equivalent work experience.
- Advanced expertise in machine learning, deep learning, and data mining techniques.
- Proficiency in Python and/or Scala for building, training, and deploying machine learning models for complex, high-dimensional systems.
- Experience with large-scale distributed data processing frameworks such as Spark or Hadoop.
- Strong programming skills and experience with production-level algorithm development.
- Exceptional communication skills, with the ability to present technical concepts and results to diverse audiences.
- Highly self-motivated and results-driven, with a proven ability to thrive in fast-paced, dynamic environments.
- Familiarity with reinforcement learning and advanced optimization techniques.
- Experience with personalization systems, recommendation engines, or ranking algorithms.
- Strong understanding of state-of-the-art LLMs and deployment for real-world applications.
- Knowledge of marketing analytics, user segmentation, and customer lifetime value modeling.
- Prior experience in payment science, subscriptions, or App Store analytics.
- A strong history of paper publications in well-known journals or top-tier conferences in machine learning and AI.
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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