About Apple
Apple · San Francisco
Senior Machine Learning Applied Researcher
(f/m/d) · 5/15/2025
Description
We are seeking a talented and experienced Senior Applied Researcher to lead and contribute to high-visibility projects. This role requires deep expertise in machine learning, a passion for research and development, and the ability to effectively communicate complex ideas to cross-functional teams and partners. If you are a self-motivated, energetic individual with a track record of delivering impactful results, we want to hear from you!
In this role, you will:
- Design and implement advanced machine learning models to optimize user experiences across Apple’s ecosystem, including App Store, Subscription services, and marketing campaigns.
- Collaborate with cross-functional teams to translate business objectives into technical solutions.
- Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies.
- Analyze large-scale datasets to uncover actionable insights, improve model performance, and drive business impact.
- Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions.
- Communicate findings and recommendations effectively to technical and non-technical audiences, including leadership and business partners.
- Contribute to the team’s research goals by authoring publications and filing patents in alignment with Apple’s innovation standards.
- Mentor junior researchers and foster a culture of collaboration, innovation, and excellence within the team.
Qualifications
- 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.
Preferred Qualifications
- 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.
Benefits
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