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Apple AIML - Staff Software Engineer ML Compute Platform & Technologies United States, Washington, Seattle 685690530
21.04.2025
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- - 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.
- Bachelors in Computer Science
- 10+ 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
- 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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