Apple
AIML - Senior Software Engineer, ML Platform & Technology
Apple, Seattle, Washington, us, 98127
AIML - Senior Software Engineer, ML Platform & Technology
Seattle, Washington, United States
Machine Learning and AI
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 will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!
Description
You'll be part of the ML Lifecycle team in MLPT that provides a platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.
Minimum Qualifications
Bachelors in Computer Science, engineering, or a related field
Demonstrated ability in software engineering with a focus on distributed systems
Proven experience in building complex micro-services
Experience with cloud platforms such as: AWS, GCP, or Azure
Proficiency in programming languages such as Python, Java, or Go
In-depth knowledge of distributed systems including: consistency, availability, and fault tolerance
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Strong communication and collaboration abilities
Preferred Qualifications
Advance degrees in Computer Science, engineering, or a related field
Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
Experience with CI/CD processes and tools
Experience with MLOps practices and tools
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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Seattle, Washington, United States
Machine Learning and AI
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 will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!
Description
You'll be part of the ML Lifecycle team in MLPT that provides a platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.
Minimum Qualifications
Bachelors in Computer Science, engineering, or a related field
Demonstrated ability in software engineering with a focus on distributed systems
Proven experience in building complex micro-services
Experience with cloud platforms such as: AWS, GCP, or Azure
Proficiency in programming languages such as Python, Java, or Go
In-depth knowledge of distributed systems including: consistency, availability, and fault tolerance
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Strong communication and collaboration abilities
Preferred Qualifications
Advance degrees in Computer Science, engineering, or a related field
Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
Experience with CI/CD processes and tools
Experience with MLOps practices and tools
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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