Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning and software engineering, with experience in developing innovative product features that leverage sensing and human-computer interaction. Your expertise in Python and frameworks like TensorFlow and Keras allows you to push the boundaries of technology in a collaborative environment. You thrive in cross-functional teams and are passionate about improving user experiences through technology.

You possess excellent problem-solving skills and can translate complex technical concepts into actionable insights. Your ability to work collaboratively with diverse teams across Apple ensures that you contribute effectively to the development of new features for Apple Watch and other devices. You are committed to continuous learning and staying updated with the latest advancements in machine learning and software development.

What you'll do

As a Senior ML Software Engineer, you will be responsible for creating technologies that power innovative features for Apple Watch, such as DoubleTap and AssistiveTouch. You will collaborate with various research and product teams to explore novel experiences and ship impactful features. Your role will involve prototyping new experiences, developing and shipping products, and publishing your work to enhance user interaction.

You will engage in the entire product development lifecycle, from ideation to deployment, ensuring that the features you develop are user-centric and aligned with Apple's vision of improving health and wellbeing through technology. Your contributions will directly impact how users interact with their devices, making their experiences more thoughtful and engaging.

What we offer

At Apple, you will be part of a creative and optimistic team that values collaboration and innovation. We offer a dynamic work environment where your ideas can flourish and lead to the development of groundbreaking products. You will have the opportunity to work on cutting-edge technologies and contribute to projects that have a meaningful impact on people's lives. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.