AIML - Sr Machine Learning Engineer, Data and ML Innovation

$166,600 - $296,300/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

As a Senior Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team at Apple, you will play a crucial role in an ML innovation organization focused on developing and shipping machine learning-based features and products. This position emphasizes innovation throughout the entire ML production pipeline, from dataset creation to model training and on-device inference optimizations. The ideal candidate is expected to be creative, willing to iterate on ideas, and capable of quickly prototyping high-quality implementations.

Responsibilities

• Develop features and models to enhance machine learning capabilities.
• Scale up model training, build data pipelines, and tune systems for improved performance and user experience.
• Review and implement pioneering machine learning algorithms.
• Build software to enhance the rate of experimentation.
• Collaborate with a multi-disciplinary team to ship end-to-end features utilizing machine learning.

Requirements

• Proficient in Python and deep learning frameworks like PyTorch.
• Experience with training ML models, including deep learning-based models.
• Ability to define metrics, evaluate ML models, and perform error analysis.
• Familiarity with recent advances in deep learning.
• Bachelor's, Master's, or PhD in Computer Science or a related field or equivalent experience.

Nice-to-haves

• Proficient in Swift or a similar statically typed language.
• Experience with modeling problems in object detection, facial recognition, multi-modal, and/or temporal machine learning.
• Experience with building efficient ML models through hardware/software co-design.
• Experience crafting and defining datasets and metrics for novel tasks.
• Experience with shipping ML features and products.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.