Apple's AIML Special Projects group is seeking a Senior Software Engineer to join their innovative team focused on Generative AI and simulation technologies. This role represents a unique opportunity to work at the intersection of artificial intelligence and practical applications, where you'll be instrumental in developing and validating simulation systems that power next-generation AI features.
The position offers an exciting challenge in a team that's dedicated to shipping AIML-based features and products that directly impact users' lives. You'll be working on cutting-edge projects that include validating simulation realism and measuring sim-to-real gaps, contributing to groundbreaking developments in AI technology.
As a senior engineer, you'll be responsible for designing and implementing metrics that capture model realism, developing scalable evaluation pipelines, and working with real-world reference data. The role requires a unique blend of technical expertise in Python, C++, and statistical analysis, combined with the ability to work effectively across teams.
The ideal candidate should be someone who thrives on innovation and isn't afraid to explore new possibilities. You'll be joining a team that values quick prototyping and iteration, with a focus on delivering high-quality implementations. The collaborative nature of the role means you'll be working with cross-functional teams across Apple, contributing to projects that push the boundaries of what's possible with AI and ML.
The position comes with competitive compensation, including a base salary range of $143,100 to $264,200, plus additional benefits such as stock options, comprehensive healthcare, and educational reimbursement. You'll be working at one of the world's most innovative companies, with access to cutting-edge technology and the opportunity to make a real impact on products used by millions of people.
This is an excellent opportunity for a senior engineer who wants to be at the forefront of AI/ML development, working on projects that combine theoretical knowledge with practical applications. The role offers significant growth potential and the chance to contribute to groundbreaking technologies that will shape the future of AI applications.