Ml Data Engineer • Senior

Who you are

You have 7+ years of industry experience as a data engineer, particularly in the machine learning domain, with a preference for vision applications. Your background includes a Bachelor's degree in Computer Science or a related field, equipping you with the technical foundation needed for this role. You are comfortable working in a fast-paced environment and are committed to improving ML data pipelines continuously. Your passion for Apple products and values drives your work, and you thrive on the impact your contributions can make.

You possess strong skills in Python and have experience with data operations at scale. Your expertise in machine learning and data engineering allows you to synthesize and annotate datasets effectively, ensuring high quality for various applications. You understand the importance of collaboration with R&D teams and are adept at communicating technical concepts to non-technical stakeholders.

Desirable

Experience with cloud platforms and tools for data processing is a plus. Familiarity with data quality assurance practices and data pipeline optimization will enhance your contributions to the team. You are eager to learn and adapt to new technologies and methodologies in the rapidly evolving field of machine learning.

What you'll do

As a Senior ML Data Engineer, you will be responsible for acquiring, synthesizing, annotating, and ensuring the quality of datasets used in training machine learning models. Your work will directly impact critical features across various Apple products, from iPhone to Apple Watch. You will collaborate closely with R&D teams to drive the development of innovative features, ensuring that the datasets you produce meet the highest standards of quality and relevance.

You will lead efforts to optimize data pipelines, focusing on scalability and efficiency. Your role will involve designing and implementing robust data processing workflows that can handle large volumes of data. You will also be responsible for monitoring data quality and implementing improvements as necessary, ensuring that the datasets are reliable and accurate for machine learning applications.

In addition to your technical responsibilities, you will mentor junior engineers and contribute to the overall growth of the team. You will participate in cross-functional meetings, sharing insights and collaborating on projects that require a deep understanding of data engineering and machine learning principles.

What we offer

At Apple, you will be part of a team that is at the forefront of machine learning and AI innovation. We offer a competitive salary and benefits package, along with opportunities for professional development and growth. You will work in an inclusive environment that values diversity and encourages collaboration. Join us and be part of a mission to change the world through technology.