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Apple Senior Software Engineer Ray ML Infrastructure Apple Data Platform - ASE United States, California, Cupertino 687899207
Yesterday
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As a member of the Apple Ray team, your responsibilities will include:* Designing, implementing, and maintaining distributed systems to build world-class ML platforms/products at scale* Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance* Design and extend services to improve functionality and reliability of the platform* Monitor system performance, optimize for cost and efficiency, and resolve any issues that arise
- 5+ years of experience in distributed systems with deep knowledge in computer science fundamentals
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Experience in delivering data and machine learning infrastructure in production environments
- Experience configuring, deploying and troubleshooting large scale production environments
- Experience in designing, building, and maintaining scalable, highly available systems that prioritize ease of use
- Experience with alerting, monitoring and remediation automation in a large scale distributed environment
- Extensive programming experience in Java, Python or Go
- Strong collaboration and communication (verbal and written) skills
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience
- Understanding of the ML lifecycle and state of the art ML Infrastructure technologies
- Experience with GPU and other type of HPC infrastructure
- Experience with training framework like PyTorch, Tensorflow, JAX
- Deep understanding of Ray and KubeRay
- Experience with ML Training/Inference profiling and optimization
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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