Summary
Posted: Oct 3, 2024
Weekly Hours: 40
Role Number:200571396
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? In Apple’s Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing machine learning, artificial intelligence, and computer vision applications. As a team, we have a variety of technical backgrounds, from machine learning PhDs to builders of large-scale production systems. Specifically in this role you will be working on optimizing end-to-end system performance of distributed machine learning workloads. This is a highly collaborative role and you will be working with key partners across the company.
Description
We are seeking highly motivated and experienced engineers to join our team. The ideal candidate will have a deep understanding of machine learning systems and cloud computing infrastructure. Key responsibilities in this role are: Engage with ML researchers to optimize end-to-end performance of large scale distributed ML workloads Analyze workload metrics to identify sources of inefficiencies and work with users to understand and optimize ML workloads Conduct workload analysis based on benchmarking key workloads on deployed systems Improve large scale training resiliency by optimizing applications and frameworks for improved recovery from failures and preemptions Influence architecture, design, development, and operations of next generation ML accelerator systems based on workload insights
Minimum Qualifications
- Experience working with large scale parallel and distributed accelerator-based systems
- Experience optimizing performance and AI workloads at scale
- Experience developing code in one or more of training frameworks (such as PyTorch, TensorFlow or JAX)
- Experience in performance analysis and optimization experience in Cloud accelerators
- Deep understanding of computer systems and the interactions between HW and SW
- Strong communicator with ability to analyze complex and ambiguous problems
- Programming and software design skills (proficiency in C/C++ and/or Python)
- Experience working in a high-level collaborative environment and promoting a teamwork mentality
Preferred Qualifications
- BS or MS in Computer Science or related field
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 $121,900 and $214,500, 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.
Notes: If you’re interested with the above job, please click button [Apply the job @Company’s site] below to brings you directly to the company’s site.
Job Features
Job Category | Engineering |
Job Reference ID | 200571396 |
Job Location | Cupertino, California, United States |