Machine Learning Engineer - Proximity Systems and Intelligence Team

Apple • San Diego, CA

75d

About The Position

Our mission is to provide an intelligent and rich user experience on Apple devices using spatial awareness and device context. We help you find your keys, locate your AirPods, remind you if you leave your devices behind in untrusted locations, and let you know how long your commute will be. We also help your loved ones know you made it home safely and help protect you against unwanted tracking. We have an opening for an experienced Machine Learning engineer for our small but growing team. The team currently focuses on designing and developing algorithms that help realize our mission. If applying machine learning algorithms to solve these problems and deploying them efficiently on edge devices excites you, we would want to talk to you! In this role you'll be a part of a team of software engineers that design and develop the software stack that enables these user experiences. You will play an integral part in ideating new algorithms and models that would unlock new experiences or improve accuracy and performance of existing ones. You will work with other members of the team to design pipelines that yield the data needed to train and refine your algorithms and models. You will ensure product quality by developing and improving tooling (including internal iOS applications), continuous integration, and data analysis and visualization. You will communicate with cross-functional teams and leadership about your designs, your progress and any risks that you see. You'll test your work, dogfood it, collect metrics, and iterate. Don't forget to sweat the edge cases-an issue that impacts a couple percent of a couple billion devices is a big issue. Come join us to build the technology which enables incredible spatially-aware experiences to our users now and for the future.

Requirements

• Prior experience in pre-training and fine-tuning large models.
• Prior experience in building models with sparse labelled data.
• Prior experience in efficient on-device deployment of ML models.
• Possess working knowledge of probability and statistics.
• Ability to succeed in a collaborative environment.
• Clear communication skills while managing multiple projects.
• Attention to detail with a focus on customer impact.

Nice To Haves

• Passionate and inquisitive about solving everyday problems in innovative ways.

Responsibilities

• Design and develop algorithms for spatial awareness and device context.
• Ideate new algorithms and models to unlock new experiences or improve existing ones.
• Work with team members to design data pipelines for training and refining algorithms.
• Develop and improve tooling, including internal iOS applications.
• Ensure product quality through continuous integration and data analysis.
• Communicate designs, progress, and risks to cross-functional teams and leadership.
• Test work, collect metrics, and iterate based on feedback.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees