Engineering Manager • Senior

Who you are

You have over 5 years of experience in engineering management, specifically in machine learning and data-centric projects — you've successfully led teams that build and optimize platforms for large-scale ML applications. Your background includes a strong understanding of ML infrastructure and generative AI, enabling you to guide teams in creating efficient data workflows and governance structures.

You possess deep technical expertise in machine learning technologies and data engineering — you understand the complexities of dataset creation, sharing, and governance, and you are adept at improving model quality through intelligent data workflows. Your leadership style fosters collaboration and innovation, encouraging your team to explore new ideas and technologies.

You are skilled in managing cross-functional teams and have a proven track record of delivering high-performance data access solutions — your experience includes working with multimodal data types such as text, images, and audio, ensuring that data access remains efficient and reliable for training and experimentation.

You are passionate about mentoring and developing your team members — you believe in empowering engineers to take ownership of their projects while providing guidance and support to help them grow in their careers. You thrive in environments that challenge you to think critically and creatively about complex problems.

Desirable

Experience with synthetic data generation and rapid data transformation techniques would be a plus — you are familiar with the latest trends in machine learning and data science, and you are eager to implement innovative solutions that enhance model training outcomes.

What you'll do

As a Senior Engineering Manager in the ML Data group, you will lead the design and delivery of core platforms that support the full machine learning lifecycle — from experimentation to large-scale training and deployment. Your role will involve unifying ML dataset creation and sharing with built-in governance, ensuring that teams across Apple can efficiently move from data to trained models.

You will oversee the development of systems that support multimodal data, ensuring that data access remains efficient and reliable — your teams will work on improving training outcomes through data-centric capabilities, including intelligent data workflows and visualization tools. You will collaborate closely with key stakeholders to align project goals with business objectives, driving the success of machine learning initiatives across the organization.

Your leadership will directly influence how ML practitioners develop, optimize, and scale models across a wide range of products and services — you will be at the forefront of ML infrastructure and generative AI, shaping the future of intelligent experiences on Apple products.

What we offer

Apple offers a dynamic work environment where innovation and creativity are encouraged — you will have the opportunity to work with cutting-edge technologies and collaborate with some of the brightest minds in the industry. We provide competitive compensation and benefits, along with opportunities for professional growth and development.

Join us in our mission to create the next generation of intelligent experiences — your contributions will have a lasting impact on how millions of users interact with Apple products and services. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.