Machine Learning Engineer - Data, Productivity Apps
About The Position
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Productivity Apps team-the team behind apps like Notes, Freeform, and iWork- needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. You will be working alongside our world-class creatives, designers, scientists, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity!As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and how data characteristics impact model performance. Your primary responsibility will be profiling and analyzing data to surface quality issues, identify gaps, and guide improvements to both evaluation and training datasets. Your deep understanding of our data will drive informed decisions across our ML pipeline and will be critical to our success in delivering high-quality features to our customers.
Nice To Haves
- Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing.
- Experience with deep learning toolkits like PyTorch, JAX, TensorFlow, etc.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools.
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What This Job Offers
Job Type
Full-time
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
