Overview
Full Time
Skills
Organized
Information Systems
Data Centers
Innovation
Pivotal
Customer Experience
Management
Evaluation
Communication
Collaboration
Machine Learning (ML)
Computer Science
Computer Engineering
Python
Java
Open Source
Analytical Skill
Problem Solving
Conflict Resolution
Data Processing
Training
Apache Spark
Apache Flink
Big Data
Managed Services
Amazon Web Services
Google Cloud
Google Cloud Platform
Vertex
Artificial Intelligence
Computer Networking
Cloud Computing
DNS
Dragon NaturallySpeaking
Kubernetes
Network
Performance Tuning
Operating Systems
Linux
Job Details
Are you meticulously organized and highly observant? Join our Information Systems and Technology group and play a vital function on one of two Apple teams: Software and Services and Corporate Functions. From Apple ID to the Apple website to our data centers around the globe, our diverse collection of engineers, designers and creators manage the massive systems and services that so many people rely on every single day! The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale-serving business-critical needs across Apple's enterprise. We are looking for a talented engineer to join our team to bring passion for infrastructure and distributed systems, to build world-class platforms/products at a very large scale across cloud environments.
Description Embark on a transformative journey as a Software Engineer within Apple's 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 experience. Your 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
Minimum Qualifications
Preferred Qualifications
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
Description Embark on a transformative journey as a Software Engineer within Apple's 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 experience. Your 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
Minimum Qualifications
- Bachelor's Degree in Computer Science, Computer Engineering or equivalent.
- AWS/Google Cloud Platform 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
Preferred Qualifications
- 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/Google Cloud Platform 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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.