Join Apple’s Body-sensing Intelligence Group (BIG) in the AIML organization! At Apple, we push the boundaries of innovation to create transformative products that impact billions of users worldwide. Our team is at the forefront of pioneering technologies that enhance multi-modal understanding of sensing hardware and machine learning (ML). We are looking for a passionate Operations Engineer to join our team. In this role, you will explore new operational methods, challenge existing metrics and protocols, and develop innovative practices to revolutionize data delivery and tackle real-world ML challenges. Your contributions will be crucial in enhancing the user experience of Apple products through advanced ML technologies.

As an ML Ops Engineer at Apple, you will utilize our advanced tools and processes to deliver high-quality datasets for next-generation ML algorithms, creating exceptional user experiences. You will translate ML-driven experiences into clear, actionable processes that consider hardware, firmware, and software requirements. Your role will involve building data pipelines with an ML-first perspective, developing systems to monitor and ensure data quality, and scaling these systems effectively. Additionally, you will present your solutions to both technical and non-technical stakeholders. The solutions you develop will have a significant impact on future Apple products and the broader ML development ecosystem. Some other responsibilities include, but are not limited to:
Partner with multidisciplinary teams, including researchers, engineers, designers, legal, and data experts, to lead innovative data collection projects with a focus on privacy
Oversee the creation of intricate user studies that support both research aims and product objectives
Innovate and implement new operational strategies and practices
Evaluate and enhance existing metrics and protocols to boost data quality and efficiency
Quickly adapt to new and emerging hardware and software technologies
Play a key role in creating groundbreaking products that improve user experiences
Manage multiple active projects involving both emerging and established technologies
Thrive in a collaborative and dynamic setting with opportunities for growth

Holds a B.S./M.S. degree in Electrical Engineering, Bioengineering, Data Science, or a related disciplinePossess over 5 years of experience in taking products from concept to large-scale productionSkilled in rapid prototyping and familiar with Design of Experiments (DOEs)Excellent problem-solving abilities and a proactive mindset in addressing challengesStrong communication skills and experience collaborating with distributed cross-functional teamsStrong organizational skills and a keen attention to detail