Machine Learning Systems Engineer

Who you are

You have a strong background in machine learning systems engineering, with experience in optimizing model training and inference — you've worked on projects that required you to collaborate closely with cross-functional teams to deliver impactful AI solutions. Your proficiency in programming languages such as Python, Swift, C++, and Java allows you to write production-level code that enhances model performance and efficiency.

You are familiar with the latest advancements in generative AI and have a passion for applying these technologies to real-world applications — your understanding of machine learning frameworks like TensorFlow and Keras enables you to implement state-of-the-art models effectively. You thrive in a collaborative environment, working alongside talented researchers and engineers to push the boundaries of what's possible with AI.

Your analytical mindset helps you evaluate various approaches to machine learning, and you are always looking for opportunities to improve processes and outcomes — you understand the importance of delivering high-quality models that power user experiences across a wide range of Apple products.

Desirable

Experience with Apple's custom Apple Silicon is a plus, as it allows you to optimize models specifically for Apple's hardware — familiarity with cloud-based model training and deployment will also enhance your contributions to the team. You are open to learning and adapting to new technologies, ensuring that you stay at the forefront of the rapidly evolving AI landscape.

What you'll do

As a Machine Learning Systems Engineer at Apple, you will be responsible for developing and shipping generative AI technology that enhances Siri and Apple Intelligence — your work will directly impact millions of users worldwide, enabling them to interact with their devices in innovative ways. You will collaborate with Siri modeling teams to optimize model training processes, ensuring that models are efficient and effective in real-world applications.

You will engage in cross-functional teamwork, working with engineers across ML infrastructure, inference, and framework teams to deliver high-performance models — your role will involve writing production-level code that integrates seamlessly with existing systems and enhances the overall user experience. You will also evaluate various machine learning approaches, pushing the envelope with the latest research developments to ensure that Apple remains a leader in AI technology.

Your contributions will include optimizing model training and inference on Apple's custom hardware, allowing for faster and more efficient processing — you will be involved in the entire ML stack, from data preparation to model deployment, ensuring that every aspect of the process is streamlined and effective. You will have the opportunity to work on meaningful and challenging problems, collaborating with some of the brightest minds in the industry.

What we offer

At Apple, you will be part of a dynamic and inclusive team that values innovation and collaboration — we offer a supportive environment where you can grow your skills and advance your career in machine learning. You will have access to cutting-edge technologies and resources, allowing you to stay at the forefront of AI advancements.

We encourage you to apply even if your experience doesn't match every requirement — your passion for machine learning and your willingness to learn are what truly matter. Join us in shaping the future of AI at Apple, where your work will have a lasting impact on how millions of people interact with technology every day.