AIML - Machine Learning Engineer - Machine Learning Platform Technology (MLPT)

Key Skills

Aartificial intelligence, Algorithms, Deep Learning, JAX framework, Machine learning techniques, Optimization, Python Programming, PyTorch, TensorFlow

Job Description

Key Qualifications

• Strong Python programming skills
• Understanding of data structures, software design principles, and algorithms
• Experience with deep learning frameworks, such as PyTorch, JAX, or TensorFlow
• Experience developing model parallel and data parallel training solutions and other training optimizations
• Experience building large-scale deep learning infrastructure or platforms for distributed model training
• Experience with parallel training libraries such as torch.distributed, DeepSpeed, etc.

Description

We're looking for strong machine learning engineers to help build next-generation tools for training deep learning models at scale. You'll be part of a small team of training technology experts, focusing on training speed and scalability. We're looking for candidates with polished coding skills as well as passion for machine learning and computational science. Design and develop components for our centralized, scalable ML platform. Help push the limits of existing solutions for large-scale training. Develop novel techniques to circumvent the limitations of these solutions. Deploy your techniques on high-impact tasks from our partners across the company building new Apple products and services. We encourage publishing novel work at top ML conferences such as MLSys or NeurIPS and releasing contributions as open source. In exchange, we offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities—all at one of the best companies in the world.

Education & Experience

PhD or Masters in the area of Computer Science or equivalent years of industry experience

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.