Apple Maps is seeking an exceptional Lead GenAI Applied Scientist to spearhead the development and application of cutting-edge generative AI technologies. This role presents a unique opportunity to revolutionize mapping capabilities and enhance user experiences for hundreds of millions of users worldwide.
The position combines advanced AI research with practical implementation, focusing on automating map creation, enhancing spatial data accuracy, and delivering personalized experiences. As a technical leader, you'll guide a team of engineers and applied scientists while working on groundbreaking products that align with Apple's commitment to privacy, inclusivity, and sustainability.
The ideal candidate brings 10+ years of applied AI research experience and a strong background in generative AI, machine learning, and large language models. You'll need exceptional programming skills in languages like Python or Java, and experience with modern ML frameworks. The role offers a competitive base salary range of $207,800 to $378,700, plus additional benefits including stock options, comprehensive healthcare, and education reimbursement.
Working at Apple Maps means joining a team at the forefront of AI innovation in spatial technology. You'll tackle complex challenges in geospatial data processing, computer vision, and natural language processing, while ensuring solutions maintain Apple's high standards for user privacy and data security. The role provides opportunities to influence the future of mapping technology through AI, working with state-of-the-art tools and technologies in Apple's collaborative environment.
This position is perfect for someone who combines technical expertise with strategic thinking and leadership abilities. You'll be responsible for driving innovation in maps creation, personalization, and real-time insights, while mentoring team members and collaborating across departments. The impact of your work will be felt by users worldwide, making this an exceptional opportunity for those passionate about applying AI to solve real-world challenges at scale.