Overview
On Site
USD 135,400.00 - 250,600.00 per year
Full Time
Skills
Design
Collaboration
RESTful
Golang
API
Usability
Cloud computing
Kubernetes
Machine Learning (ML)
Use cases
Payments
Job Details
Summary
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products and services? Do you want to shape the next generation of ML developer experience? In Apple's Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing LLM, vision and other machine learning applications.As a software engineer on our team, you will design and build services to accelerate and improve the model lifecycle process. Our team focuses on the most fundamental aspects of the ML ecosystem: identity, access, collaboration, and notification. The mission is to provide a reliable, scalable, and enjoyable experience for customers.
Description
We build, deploy and operate critical services that power the Apple ML Lifecycle platform! Engineers in this role work with customers and partners across Apple. This role impacts ML teams and products across the company, providing security, flexibility, and reliability throughout the model lifecycle development process.Implement REST API services and client SDKs using Golang in combination with Open API. Monitor, measure, test, and optimize the performance, uptime and usability of services managed in cloud-based (Kubernetes) architecture. Support customer and partner integrations across a wide range of ML-focused use cases.
Pay & Benefits
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products and services? Do you want to shape the next generation of ML developer experience? In Apple's Machine Learning Platform Technology & Infra team we have built the platform that Apple uses for developing LLM, vision and other machine learning applications.As a software engineer on our team, you will design and build services to accelerate and improve the model lifecycle process. Our team focuses on the most fundamental aspects of the ML ecosystem: identity, access, collaboration, and notification. The mission is to provide a reliable, scalable, and enjoyable experience for customers.
Description
We build, deploy and operate critical services that power the Apple ML Lifecycle platform! Engineers in this role work with customers and partners across Apple. This role impacts ML teams and products across the company, providing security, flexibility, and reliability throughout the model lifecycle development process.Implement REST API services and client SDKs using Golang in combination with Open API. Monitor, measure, test, and optimize the performance, uptime and usability of services managed in cloud-based (Kubernetes) architecture. Support customer and partner integrations across a wide range of ML-focused use cases.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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