AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)
Apple
AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)
Job Description
Want to build the platform that enables the next generation of intelligent experiences on Apple products & services? As a software engineer on the Machine Learning Platform team, you will be responsible for designing and building critical services that support Apple Intelligence, machine learning and computer vision efforts across the company. Specifically, you will work on platforms responsible for orchestrating and managing distributed machine learning workloads on Apple hardware. This is a highly collaborative role and you will be working with key partners across the company. Within our team, we have a diverse software and infrastructure stack with many opportunities to learn and grow your skills with current technologies! Our platform is built using a variety of systems and services: from bare metal to managed infrastructure services, and everything in between. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, and we exemplify a team of pragmatic, proficient, product-focused engineers. Want to join us? As a software engineer on the MLPT Compute Platform team you have the following responsibilities: Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices. These may include, but not limited to data management systems, engineering workflow systems, distributed compute systems and user-facing UIs and APIs. Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you will be working on core infrastructure that teams across the company leverage to deliver ML powered products and features. 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, coaching and educational opportunities.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing and building critical servicesintermediate
- machine learningintermediate
- computer visionintermediate
- orchestrating and managing distributed machine learning workloadsintermediate
- collaborative roleintermediate
- working with key partnersintermediate
- software and infrastructure stackintermediate
- bare metalintermediate
- managed infrastructure servicesintermediate
- architectureintermediate
- designintermediate
- developmentintermediate
- operationsintermediate
- data management systemsintermediate
- engineering workflow systemsintermediate
- distributed compute systemsintermediate
- user-facing UIs and APIsintermediate
- partnering with teamsintermediate
- defining high impact product featuresintermediate
- delivering with qualityintermediate
- leading a group of engineersintermediate
- delivering high quality products/servicesintermediate
- staying on top of innovative technologiesintermediate
- applying innovative technologiesintermediate
- supporting junior engineersintermediate
- providing adviceintermediate
- coachingintermediate
- educational opportunitiesintermediate
Required Qualifications
- Strong software development skills, proficiency in relevant languages (e.g. Python) (experience)
- Experience designing and building services and APIs, especially micro-services (experience)
- Familiarity with relational database systems such as PostgreSQL, and experience with distributed systems and services (experience)
- Proficiency with CI/CD, Container orchestration technologies like Kubernetes & EC2 (experience)
- Obsessed with the end user experience; previous experience in taking a product from design & inception to production (experience)
- 5 years of industry experience in software development (experience, 5 years)
- BS in Computer Science or equivalent industry work experience (experience)
Preferred Qualifications
- Experience using system monitoring tools and automated testing frameworks (experience)
- Experience delivering distributed systems and services in a production setting (experience)
- Experience with Kubernetes and cloud infrastructure (experience)
- Experience with Machine Learning and ML lifecycle / deployment (experience)
- Master or PhD in Computer Science or equivalent industry work experience (experience)
Responsibilities
- As a software engineer on the MLPT Compute Platform team you have the following responsibilities:
- Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices. These may include, but not limited to data management systems, engineering workflow systems, distributed compute systems and user-facing UIs and APIs.
- Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you will be working on core infrastructure that teams across the company leverage to deliver ML powered products and features.
- 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, coaching and educational opportunities.
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Answer 10 quick questions to check your fit for AIML - Sr. Software Engineer, ML Platform Technologies (MLPT) @ Apple.
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AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)
Apple
AIML - Sr. Software Engineer, ML Platform Technologies (MLPT)
Job Description
Want to build the platform that enables the next generation of intelligent experiences on Apple products & services? As a software engineer on the Machine Learning Platform team, you will be responsible for designing and building critical services that support Apple Intelligence, machine learning and computer vision efforts across the company. Specifically, you will work on platforms responsible for orchestrating and managing distributed machine learning workloads on Apple hardware. This is a highly collaborative role and you will be working with key partners across the company. Within our team, we have a diverse software and infrastructure stack with many opportunities to learn and grow your skills with current technologies! Our platform is built using a variety of systems and services: from bare metal to managed infrastructure services, and everything in between. We use existing systems when possible, but do not shy away from rolling components ourselves. As a team, we have a variety of technical backgrounds, and we exemplify a team of pragmatic, proficient, product-focused engineers. Want to join us? As a software engineer on the MLPT Compute Platform team you have the following responsibilities: Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices. These may include, but not limited to data management systems, engineering workflow systems, distributed compute systems and user-facing UIs and APIs. Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you will be working on core infrastructure that teams across the company leverage to deliver ML powered products and features. 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, coaching and educational opportunities.
Locations
- San Francisco Bay Area, California, United States
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing and building critical servicesintermediate
- machine learningintermediate
- computer visionintermediate
- orchestrating and managing distributed machine learning workloadsintermediate
- collaborative roleintermediate
- working with key partnersintermediate
- software and infrastructure stackintermediate
- bare metalintermediate
- managed infrastructure servicesintermediate
- architectureintermediate
- designintermediate
- developmentintermediate
- operationsintermediate
- data management systemsintermediate
- engineering workflow systemsintermediate
- distributed compute systemsintermediate
- user-facing UIs and APIsintermediate
- partnering with teamsintermediate
- defining high impact product featuresintermediate
- delivering with qualityintermediate
- leading a group of engineersintermediate
- delivering high quality products/servicesintermediate
- staying on top of innovative technologiesintermediate
- applying innovative technologiesintermediate
- supporting junior engineersintermediate
- providing adviceintermediate
- coachingintermediate
- educational opportunitiesintermediate
Required Qualifications
- Strong software development skills, proficiency in relevant languages (e.g. Python) (experience)
- Experience designing and building services and APIs, especially micro-services (experience)
- Familiarity with relational database systems such as PostgreSQL, and experience with distributed systems and services (experience)
- Proficiency with CI/CD, Container orchestration technologies like Kubernetes & EC2 (experience)
- Obsessed with the end user experience; previous experience in taking a product from design & inception to production (experience)
- 5 years of industry experience in software development (experience, 5 years)
- BS in Computer Science or equivalent industry work experience (experience)
Preferred Qualifications
- Experience using system monitoring tools and automated testing frameworks (experience)
- Experience delivering distributed systems and services in a production setting (experience)
- Experience with Kubernetes and cloud infrastructure (experience)
- Experience with Machine Learning and ML lifecycle / deployment (experience)
- Master or PhD in Computer Science or equivalent industry work experience (experience)
Responsibilities
- As a software engineer on the MLPT Compute Platform team you have the following responsibilities:
- Lead the architecture, design, development, and operations of systems designed for running machine learning workloads across all of Apple’s platforms and devices. These may include, but not limited to data management systems, engineering workflow systems, distributed compute systems and user-facing UIs and APIs.
- Partner with various teams and machine learning engineers across different Apple organizations to define high impact product features and deliver them with quality. In this role you will be working on core infrastructure that teams across the company leverage to deliver ML powered products and features.
- 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, coaching and educational opportunities.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr. Software Engineer, ML Platform Technologies (MLPT) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs