Machine Learning Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming great

products, services, and customer experiences very quickly. Bring passion and

dedication to your job and there's no telling what you could accomplish! Our

team is working toward a future where our devices are aware of us and our

environment, they directly support our health and wellbeing, and they nudge us

to be more thoughtful, present, and inspired human beings. We believe there is

huge opportunity to improve lives and the world by understanding people, our

activities, connections, and the environments we live in using sensing and

machine learning on our devices. Our team works with cross-functional partners

across Apple to create high-impact features and new ways to interact on Apple

Watch, home products, and new hardware. We prototype new experiences, develop

and ship products, and publish our work. We are a creative, multi-disciplinary,

optimistic, and collaborative team. Come join us and build the future!

DESCRIPTION

The team you will join is responsible for creating the technologies that power

new, innovative product features for Apple Watch, like DoubleTap,

AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and

partner with a variety of research and product teams across Apple to explore

novel experiences and ship features. We are looking for an ML engineer who is

passionate about developing innovative product features that push the boundaries

of sensing, machine learning, and human-computer interaction. You will work

closely with designers, machine learning engineers, and software experts to turn

vague, ambitious ideas into the next generation of sensing experiences for

millions of Apple Watch users. Your responsibilities will include: * Train,

evaluate, and debug deep learning models for complex tasks * Guide new features

from early prototypes to shipping products, communicating with peers to build

requirements and track progress

MINIMUM QUALIFICATIONS

M.S. or Ph.D. in Machine Learning, Computer Science, or a related field;

additional background in Human-Computer Interaction (HCI) is a plus Strong

Python skills with experience working with deep learning frameworks such as

PyTorch or TensorFlow Hands-on experience developing predictive models using

time-series and multimodal sensor data Proficient in data collection, model

training and optimization, defining metrics, and performing failure analysis

Great communication and collaboration skills

PREFERRED QUALIFICATIONS

Proven ability to design and build scalable modeling pipelines for data

processing, training, and evaluation Experience with signal processing

techniques for ML applications