Senior Applied Scientist - Apple Services Engineering

Who you are

You have a strong background in applied science, particularly in machine learning and AI, with a focus on data quality and integrity. Your experience includes developing innovative solutions that enhance user experiences through rigorous scientific methodology. You thrive on tackling complex challenges and are passionate about applying your skills to real-world problems that impact millions of users.

You possess excellent analytical skills and have a proven track record of designing and implementing scalable solutions. Your ability to work collaboratively with cross-functional teams, including engineering and product management, allows you to drive projects from conception to execution. You are comfortable communicating complex ideas to both technical and non-technical stakeholders, ensuring alignment and understanding across teams.

You are detail-oriented and understand the importance of data quality in AI systems. Your experience includes creating gold standard datasets and implementing anomaly detection systems that ensure the reliability of AI-powered services. You are committed to continuous learning and staying updated with the latest advancements in machine learning and AI technologies.

Desirable

Experience with large language models and their applications in real-world scenarios is a plus. Familiarity with quality control processes and methodologies will enhance your contributions to the team. You are open to exploring new technologies and methodologies that can improve data quality and user experience.

What you'll do

As a Senior Applied Scientist at Apple, you will lead the design and implementation of innovative quality control solutions for Apple Services. Your primary responsibility will be to develop AI and machine learning solutions that programmatically generate gold standard datasets, ensuring the integrity and quality of data used in various applications.

You will collaborate closely with the Human-centered AI (HAI) organization to shape the future of data quality at Apple. This involves working at the intersection of cutting-edge machine learning technologies and rigorous scientific methodologies to create scalable solutions that meet Apple's high standards for user experience.

Your role will require you to analyze existing data quality processes and identify areas for improvement. You will implement anomaly detection systems that proactively address data quality issues, ensuring that AI-powered services deliver accurate and reliable results to users.

You will also be responsible for mentoring junior team members, sharing your expertise in machine learning and data quality. Your leadership will help foster a culture of innovation and scientific rigor within the team, encouraging collaboration and knowledge sharing.

What we offer

At Apple, you will be part of a dynamic team that is dedicated to enhancing user experiences through technology. We offer a collaborative work environment where your contributions will have a direct impact on millions of users worldwide. You will have access to cutting-edge tools and technologies, allowing you to push the boundaries of what is possible in AI and machine learning.

We believe in investing in our employees' growth and development. You will have opportunities for continuous learning and professional development, ensuring that you stay at the forefront of advancements in your field. Our commitment to inclusion and diversity means that you will work in an environment that values different perspectives and experiences.

Join us at Apple and be part of a team that is shaping the future of technology and user experiences. Your work will not only contribute to the success of Apple Services but also enrich the lives of millions of users around the globe.