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Join a forward-thinking company where creativity and innovation thrive. As a Machine Learning Engineer, you will collaborate with talented engineers and researchers to build a highly scalable ASR-focused ML platform. Your work will impact millions, as you train thousands of models weekly using cutting-edge technologies like PyTorch and Kubernetes. This role offers the chance to be part of a diverse team dedicated to delivering exceptional products that change lives for the better. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you.
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Client: Apple
Location: Cambridge, United Kingdom
Job Category: -
EU work permit required: Yes
Job Reference: 12013989cb50
Job Views: 3
Posted: 18.04.2025
Expiry Date: 02.06.2025
Summary:
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. You will be working closely with engineers and researchers from a number of other teams at Apple, you’re an effective communicator, a nimble learner motivated by a passion to deliver phenomenal products.
Key Qualifications:
You will be part of a cross functional team that works between researchers and cloud technology teams building a highly scalable ASR focused ML platform. Your work will be used to reliably train thousands of models every week and deliver those models to millions of customers. You will use the latest open source technologies like PyTorch, HuggingFace, K8s as well as the latest Apple Silicon and Apple hardware to deliver the best experience for our customers.
Additional Requirements: