Machine Learning Engineer • Staff

Who you are

You have a strong background in machine learning and artificial intelligence, with experience in developing and optimizing algorithms that enhance search functionalities. Your expertise in Python allows you to build scalable solutions that improve user experiences. You thrive in collaborative environments, working closely with infrastructure and data teams to deliver impactful features. You are also passionate about mentoring aspiring engineers and scientists, helping them grow their skills and contribute to the team's success. Your analytical mindset enables you to tackle complex problems and derive insights from data effectively.

Desirable

Experience with large-scale data processing and backend data-extraction pipelines is a plus. Familiarity with tools and frameworks that support machine learning workflows will enhance your contributions to the team.

What you'll do

As a Staff Machine Learning Engineer at Apple, you will play a pivotal role in advancing the capabilities of Apple Maps. You will develop and optimize novel machine learning algorithms to address key challenges in local search, including ranking, intent modeling, and semantic search. Your work will involve designing and developing tools and processes for backend data-extraction pipelines, ensuring that the data used for training models is of the highest quality. You will collaborate with various teams, including infrastructure and quality assurance, to create features that enhance the search experience for users. Additionally, you will mentor junior engineers and applied scientists, fostering a culture of learning and innovation within the team. Your contributions will directly impact the intelligence and accuracy of Apple Maps, making it a more powerful tool for millions of users.

What we offer

Apple provides a dynamic work environment where innovation thrives. You will have the opportunity to work on groundbreaking technologies that shape the future of mapping and navigation. The company values diversity and inclusion, ensuring that all employees feel valued and empowered. Competitive compensation and benefits packages are offered, along with opportunities for professional growth and development. Join us in building a world-class search team that is dedicated to enhancing user experiences through cutting-edge technology.