Machine Learning Engineer • Staff

Who you are

You have 5+ years of applied machine learning experience, ideally in collaborative environments where you've contributed to impactful projects. Your strong software engineering skills complement your expertise in machine learning, allowing you to effectively translate product requirements into modeling and engineering tasks. You are familiar with the latest LLM/ML techniques and have experience in training and deploying deep learning models at scale.

Your educational background includes a Master's degree in Computer Science or a related field, equipping you with the theoretical knowledge to tackle complex problems. You thrive in diverse teams and are eager to push the limits of artificial intelligence to enhance user experiences across Apple products. You understand the importance of optimizing online inference and are committed to delivering high-quality solutions.

Desirable

Experience with distributed systems engineering is a plus, as it complements your machine learning expertise. Familiarity with production services and a passion for redefining user interactions with technology will set you apart. You are also open to learning and adapting to new technologies as they emerge in the fast-evolving field of AI.

What you'll do

As a Staff Machine Learning Engineer, you will play a pivotal role in shaping the future of Siri and other Apple products. You will leverage your expertise to improve assistant response ranking and search technologies, ensuring that users receive accurate and relevant information. Your work will involve training and deploying machine learning models, utilizing frameworks like PyTorch, TensorFlow, and JAX to achieve optimal performance.

You will collaborate closely with a diverse team of applied machine learning engineers and distributed systems engineers, sharing knowledge and best practices to drive innovation. Your responsibilities will include understanding product requirements and translating them into actionable modeling tasks, as well as engineering tasks that align with Apple's vision for smarter products.

In this role, you will also focus on optimizing online inference processes, ensuring that the models you develop can handle real-time queries efficiently. You will have the opportunity to shape upcoming products and contribute to a culture of excellence and continuous improvement within the team.

What we offer

Apple provides a dynamic work environment where innovation thrives. You will be part of a team that values diversity and inclusion, fostering a culture where every voice is heard. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in redefining how millions of users interact with technology and make a meaningful impact on their daily lives.