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AIML - Software Engineer, ML Platform & Technology - ML Life Cycle

Seattle,Washington,United States

Machine Learning and AI

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.

Minimum Qualifications

• 3+ years engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and microservices

• Strong skills coding in Golang (3+ years): sophisticated approach to interfaces, concurrency, generics, channels, and unit tests

• Focus on robust API-based services and client SDKs, including unit and integration tests

• Passionate about building systems that will stand the test of time and be supported by a team

• Excellent interpersonal skills for connecting across teams and partners

• Bachelors in Computer Science or equivalent industry work experience

Key Qualifications

Preferred Qualifications

• Familiar with pod-based service deployment and operations in Kubernetes

• Experience with OpenAPI/Swagger, including commonly-used specs, generation of clients, and documentation.

• Familiar with observability, telemetry and monitoring tooling such as Prometheus, OpenTelemetry, Splunk, Jaeger, Grafana

• Coding skills in Python-based SDK development: 2-5 years, intermediate or higher

Education & Experience

Additional Requirements

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 (https://www.apple.com/careers/us/benefits.html) 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.

• 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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