Sr. Software Engineer, ML Platform Technologies (MLPT)
Apple
Sr. Software Engineer, ML Platform Technologies (MLPT)
Job Description
Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate for this position is an experienced software engineer with a strong background in backend development and API design. They should be skilled in building scalable, high-performance RESTful services and have a proven track record of implementing APIs that serve SDKs and front-end user interfaces. This candidate should have understanding both the architectural challenges and practical aspects of deploying and maintaining services in cloud environment. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives! You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.
Locations
- Santa Clara, California, United States 95050
- 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 large-scale distributed systemsintermediate
- building large-scale distributed systemsintermediate
- maintaining large-scale distributed systemsintermediate
- backend developmentintermediate
- API designintermediate
- building scalable high-performance RESTful servicesintermediate
- implementing APIs for SDKsintermediate
- implementing APIs for front-end user interfacesintermediate
- deploying services in cloud environmentintermediate
- maintaining services in cloud environmentintermediate
- ML model trainingintermediate
- ML model evaluationintermediate
- ML workflow orchestrationintermediate
- integrating ML systems and frameworksintermediate
- designing large-scale micro-servicesintermediate
- deploying large-scale micro-servicesintermediate
- partnering with product managersintermediate
- partnering with teamsintermediate
- understanding requirementsintermediate
- delivering innovative solutionsintermediate
Required Qualifications
- Bachelors in Computer Science, engineering, or a related field (degree in computer science)
- Demonstrated ability in software engineering with a focus on distributed systems (experience)
- Proven experience in building complex micro-services (experience)
- Proficiency in programming languages such as Python, Java, or Go (experience)
- Hands-on experience with relational databases or non-relational database (e.g. PostgresSQL, MongoDB) (experience)
- Familiarity with event-driven architectures and message brokers (e.g. Kafka, RabbitMQ) (experience)
- Solid understanding of software engineering principles, design patterns, and RESTful service design. (experience)
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) (experience)
- Experience with cloud platforms such as AWS, GCP, or Azure (experience)
- Strong communication and collaboration abilities (experience)
Preferred Qualifications
- Advance degrees in Computer Science, engineering, or a related field (degree in computer science)
- Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow) (experience)
- Experience with CI/CD processes and tools (experience)
- Experience with MLOps practices and tools (experience)
Responsibilities
- You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.
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Sr. Software Engineer, ML Platform Technologies (MLPT)
Apple
Sr. Software Engineer, ML Platform Technologies (MLPT)
Job Description
Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate for this position is an experienced software engineer with a strong background in backend development and API design. They should be skilled in building scalable, high-performance RESTful services and have a proven track record of implementing APIs that serve SDKs and front-end user interfaces. This candidate should have understanding both the architectural challenges and practical aspects of deploying and maintaining services in cloud environment. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives! You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.
Locations
- Santa Clara, California, United States 95050
- 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 large-scale distributed systemsintermediate
- building large-scale distributed systemsintermediate
- maintaining large-scale distributed systemsintermediate
- backend developmentintermediate
- API designintermediate
- building scalable high-performance RESTful servicesintermediate
- implementing APIs for SDKsintermediate
- implementing APIs for front-end user interfacesintermediate
- deploying services in cloud environmentintermediate
- maintaining services in cloud environmentintermediate
- ML model trainingintermediate
- ML model evaluationintermediate
- ML workflow orchestrationintermediate
- integrating ML systems and frameworksintermediate
- designing large-scale micro-servicesintermediate
- deploying large-scale micro-servicesintermediate
- partnering with product managersintermediate
- partnering with teamsintermediate
- understanding requirementsintermediate
- delivering innovative solutionsintermediate
Required Qualifications
- Bachelors in Computer Science, engineering, or a related field (degree in computer science)
- Demonstrated ability in software engineering with a focus on distributed systems (experience)
- Proven experience in building complex micro-services (experience)
- Proficiency in programming languages such as Python, Java, or Go (experience)
- Hands-on experience with relational databases or non-relational database (e.g. PostgresSQL, MongoDB) (experience)
- Familiarity with event-driven architectures and message brokers (e.g. Kafka, RabbitMQ) (experience)
- Solid understanding of software engineering principles, design patterns, and RESTful service design. (experience)
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) (experience)
- Experience with cloud platforms such as AWS, GCP, or Azure (experience)
- Strong communication and collaboration abilities (experience)
Preferred Qualifications
- Advance degrees in Computer Science, engineering, or a related field (degree in computer science)
- Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow) (experience)
- Experience with CI/CD processes and tools (experience)
- Experience with MLOps practices and tools (experience)
Responsibilities
- You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.
Tags & Categories
Answer 10 quick questions to check your fit for Sr. Software Engineer, ML Platform Technologies (MLPT) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs