Principal Applied Research Engineer / Scientist

1 Month ago • All levels • Research Development

Job Summary

Job Description

As a Principal Applied Research Engineer/Scientist, you will lead the entire ML development lifecycle, collaborating with cross-functional teams to create innovative AI technologies. You'll be responsible for designing high-performance ML models, influencing ML tooling and infrastructure, managing evaluation efforts, and implementing model inference solutions. This role emphasizes rapid iteration to bring models into reality. You will work closely with hardware, software, and design teams across Apple, contributing to projects that could redefine user experiences and technological capabilities. Your responsibilities include designing, building, and implementing production-ready ML models, driving data generation and evaluation, developing and optimizing model inference solutions, prototyping AI solutions, communicating research directions, influencing modeling architecture decisions, and translating research innovations into practical implementations.

Job Details

In this role, you will be responsible for the entire ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll design high-performance ML models, create and influence ML tooling and infrastructure, drive evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, both representing the technology and implementing complete engineering solutions ready for product development. This unique opportunity places you at the forefront of innovation, working on projects that have the potential to redefine user experiences and technological capabilities at a company-wide level. Each team member brings unique expertise from their work on transformative industry projects, contributing to an environment that consistently pushes the boundaries of what's possible with AI and machine learning. KEY RESPONSIBILITIES: - Design, build, and implement production-ready ML models and infrastructure in partnership with designers, software/hardware engineers, and applied R&D teams - Drive data generation, curation, and evaluation efforts for ML systems - Develop and optimize model inference solutions - Rapidly prototype AI solutions that solve real-world problems - Communicate and advocate for novel research directions to product-oriented leadership - Influence modeling architecture decisions and translate research innovations into practical implementations - Engage with diverse teams across Apple to represent AI technology and implement it into prototypes

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