AIML - ML Infrastructure Software Engineer, Machine Learning Platform & Infrastructure

Key Skills

Algorithms, Amazon Simple Storage Service (S3), AWS, CUDA/GPU programming, Deep Learning, GPUs, JAX framework, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

Imagine what you could do here. At Apple, great 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. Apple ML Infra team in AIML is looking for ML Infrastructure engineers to build and optimize various infrastructure pieces of our ML stack. You will get exposed to exciting technologies in areas including distributed data processing, large scale distributed training of models, the latest frontier in models for natural language processing and artificial intelligence, and the most advanced techniques to scale the systems to handle billions of requests and petabytes of data per day, and much more! The system we build help to power a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup etc. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Key Qualifications

• Strong coding skills
• Strong background in computer science: algorithms and data structures
• Excellent interpersonal skills able to work independently as well as in a team
• Experience with training, serving and optimizing Large Language Models
• Experience with XLA/Compiler/CUDA

Description

• Build scalable and effective systems for serving deep learning models - Build and optimize distributed training approaches for deep learning models on ML accelerators such as GPUs
• Build software that improves the rate of experimentation and helps people make better decisions about what to try next
• Train, evaluate, and debug deep learning models for complex tasks
• Develop tools and services for understanding the latest NLP/Image models

Education & Experience

• BS, MS, Ph.D. in a related field , or equivalent experience

Additional Requirements

• Nice to Have
• Experience with popular training frameworks like tensorflow/pytorch/Jax for serving/training/optimization
• Experience with GPU serving/optimization/training
• Experience with model compression/quantization
• Experience with distributed data processing
• Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

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 $161,000 and $278,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.