AIML - Sr. Software Engineer - ML Compute, ML Platform & Technology
Apple
Software Engineering, IT, Data Science
Seattle, WA, USA
Posted on Oct 17, 2024
Summary
Posted:
Role Number:200573429
Apple is where individual imaginations gather together, committing to the values that lead to great work! Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something! As part of the ML compute team, you will be at the heart of designing, building, and maintaining the compute infrastructure that enables model training, tuning, and other ML tasks for machine learning, artificial intelligence, and computer vision applications. Make an impact by shaping and owning critical compute components, and be proud to contribute to the infrastructure that enables intelligent experiences across all Apple products and services, used by billions of people worldwide.
Description
As a senior software engineer in ML compute team you have the following responsibilities: - Own the architecture, design, development, and operations of large-scale systems designed for machine learning. - Develop custom scheduling, resource management solutions, and fleet management for our ML model training compute infrastructure. Collaborate with multi-functional teams, integrate with Kubernetes in on-premises and cloud provider clusters, and enable seamless integration with NVIDIA GPUs and other ML accelerators. - Partner with data scientists and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you are building the platform upon which other teams will develop data pipelines and machine learning applications. - Lead a group of engineers to deliver high quality products/services. Be able to stay on top of innovative technologies and apply them in the job. During the process, support junior engineers by providing advice, mentoring and educational opportunities.
Minimum Qualifications
- Bachelors in Computer Science
- 5+ years of industry related experience, working in collaborate environments
- Experience with public cloud infrastructure like Kubernetes, Amazon EC2 and EKS, Google Cloud Platform
- Strong software development skills, with proficiency in relevant languages (ex. Golang, Python)
- Strong problem solving skills and ability to write performant and high-quality code
- Proficient understanding of the software development process, including unit testing and release management
- Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative setting
Key Qualifications
Preferred Qualifications
- Strong understanding of batch scheduling systems and high-performance computing environments
- Experience using system monitoring tools, automated testing frameworks and CI/CD pipelines
- Experience with GPUs and/or other ML accelerators in the context of Machine Learning
- A passion for making simple, robust, and scalable platforms used by other engineering teams
- Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
- Masters or PhD in Computer Science
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.