Role overview
We are looking for a Machine Learning Scientist/Engineer to join our team and help shape the future of Apple Maps. In this role, you’ll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. Your primary responsibility will be transforming high-level business objectives into measurable, technical requirements, including designing, implementing, and deploying cutting-edge models that solve real-world challenges. You’ll collaborate closely with cross-functional teams, including engineering and design, to architect scalable systems while continuously refining solutions through data-driven iteration.
The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence.
What we're looking for
5+ years of experience in building large-scale machine learning systems
5+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), NLP, Knowledge Graphs, or Computer Vision
Hands-on experience with reinforcement learning (RL), including policy optimization methods (e.g., policy gradients, actor-critic, PPO-style approaches) and deploying RL systems for large-scale models in real-world production environments
Experience working with large-scale and real-world datasets
Metrics-driven and passionate about delivering models that produce high-quality, user-facing results
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C++
Strong knowledge of Spark or other related big data technologies
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .