Embark on a transformative journey as a Software Engineer within Apples esteemed Applied Machine Learning Team where you will assume a pivotal role in architecting and orchestrating the high-performance scalable enterprise platforms that underpin our groundbreaking Data ML and inferencing platforms. You shall be entrusted with the stewardship of ensuring unparalleled availability optimal performance and minimal latency for our high-throughput applications thereby directly influencing and elevating the customer responsibilities will encompass the management of diverse workloads across ML/Data/Inference platforms coupled with the exploration and evaluation of latest open source technologies and innovative solutions. A proven aptitude for outstanding interpersonal communication and the capacity to collaborate seamlessly across multifaceted business and technical teams are paramount. We are looking for enthusiastic engineers with interest in one of the following areas: Platform Reliability Engineer Big Data Engineer ML Engineer
Bachelors Degree in Computer Science Computer Engineering or equivalent.
AWS/GCP or Kubernetes Experience
Proficient programming knowledge in one of the following areas: Python Java or Go Programming and ability to read and explain open source codebase
Understanding or exposure in Operating Systems or Networking and Security Principles
Relevant Internship experience
Excellent analytical & problem solving skills
Exposure to Data processing and Model Training or FineTuning methodologies
Exposure to Spark/Flink and other modern cloud native big data technologies
Exposure to Cloud managed services like AWS BedRock/GCP Vertex AI
Exposure to various LLM infrastructure like GPUs TPUs & Inferentia
Understanding of Networking concepts on Cloud like VPCs DNS Security Groups Kubernetes network model
Expertise in Performance tuning JVMs & Operating Systems like Linux
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