AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies
Apple
AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies
Job Description
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. As a staff software engineer, 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.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
60,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- architecture designintermediate
- system designintermediate
- software developmentintermediate
- operations of large-scale systemsintermediate
- machine learningintermediate
- custom schedulingintermediate
- resource managementintermediate
- fleet managementintermediate
- ML model trainingintermediate
- collaboration with multi-functional teamsintermediate
- Kubernetes integrationintermediate
- on-premises clustersintermediate
- cloud provider clustersintermediate
- NVIDIA GPUsintermediate
- ML acceleratorsintermediate
- seamless integrationintermediate
- partnership with data scientistsintermediate
- partnership with machine learning engineersintermediate
- defining product featuresintermediate
- delivering products with qualityintermediate
- building platformsintermediate
- data pipelinesintermediate
- leading engineersintermediate
- delivering high-quality productsintermediate
- staying on top of innovative technologiesintermediate
- applying innovative technologiesintermediate
- mentoringintermediate
- providing adviceintermediate
- educational supportintermediate
Required Qualifications
- Bachelors in Computer Science (degree in computer science)
- 10+ years of industry related experience, working in collaborate environments (experience, 10 years)
- Experience with public cloud infrastructure like: Kubernetes, Amazon EC2 and EKS, Google Cloud Platform (experience)
- Strong software development skills, with proficiency in relevant languages (ex. Golang, Python) (experience)
- Strong problem solving skills and ability to write performant and high-quality code (experience)
- Proficient understanding of the software development process, including unit testing and release management (experience)
- 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 (experience)
Preferred Qualifications
- Strong understanding of batch scheduling systems and high-performance computing environments (experience)
- Experience using system monitoring tools, automated testing frameworks and CI/CD pipelines (experience)
- Experience with GPUs and/or other ML accelerators in the context of Machine Learning (experience)
- A passion for making simple, robust, and scalable platforms used by other engineering teams (experience)
- Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements (experience)
- Masters or PhD in Computer Science (degree in phd in computer science)
Responsibilities
- As a staff software engineer, 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.
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Answer 10 quick questions to check your fit for AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies @ Apple.
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AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies
Apple
AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies
Job Description
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. As a staff software engineer, 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.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
60,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- architecture designintermediate
- system designintermediate
- software developmentintermediate
- operations of large-scale systemsintermediate
- machine learningintermediate
- custom schedulingintermediate
- resource managementintermediate
- fleet managementintermediate
- ML model trainingintermediate
- collaboration with multi-functional teamsintermediate
- Kubernetes integrationintermediate
- on-premises clustersintermediate
- cloud provider clustersintermediate
- NVIDIA GPUsintermediate
- ML acceleratorsintermediate
- seamless integrationintermediate
- partnership with data scientistsintermediate
- partnership with machine learning engineersintermediate
- defining product featuresintermediate
- delivering products with qualityintermediate
- building platformsintermediate
- data pipelinesintermediate
- leading engineersintermediate
- delivering high-quality productsintermediate
- staying on top of innovative technologiesintermediate
- applying innovative technologiesintermediate
- mentoringintermediate
- providing adviceintermediate
- educational supportintermediate
Required Qualifications
- Bachelors in Computer Science (degree in computer science)
- 10+ years of industry related experience, working in collaborate environments (experience, 10 years)
- Experience with public cloud infrastructure like: Kubernetes, Amazon EC2 and EKS, Google Cloud Platform (experience)
- Strong software development skills, with proficiency in relevant languages (ex. Golang, Python) (experience)
- Strong problem solving skills and ability to write performant and high-quality code (experience)
- Proficient understanding of the software development process, including unit testing and release management (experience)
- 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 (experience)
Preferred Qualifications
- Strong understanding of batch scheduling systems and high-performance computing environments (experience)
- Experience using system monitoring tools, automated testing frameworks and CI/CD pipelines (experience)
- Experience with GPUs and/or other ML accelerators in the context of Machine Learning (experience)
- A passion for making simple, robust, and scalable platforms used by other engineering teams (experience)
- Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements (experience)
- Masters or PhD in Computer Science (degree in phd in computer science)
Responsibilities
- As a staff software engineer, 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.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Staff Software Engineer, ML Compute - ML Platform & Technologies @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs