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Apple

Software Engineer, Reliability Engineering, AiDP

Austin Metro Area, TX$150,400 – $225,300Posted 24 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities-serving business-critical needs across Apple's enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open-source and cutting edge technologies.

Description

We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments.As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data platform.","responsibilities":"Build, enhance, and maintain multi-tenant systems leveraging diverse technologies.

Collaborate with cross-functional teams to deliver impactful customer features.

Lead projects through full lifecycle, from design discussions to release delivery.

Operate, scale, and optimize high-throughput and highly concurrent services.

Diagnose, resolve, and prevent production and operational challenges.

Preferred Qualifications

Ability to read and explain open source codebase.

Experience deploying and managing CI/CD pipelines.

Strong expertise in troubleshooting complex production issues.

Should be able to understand complex architectures and be comfortable working with multiple teams.

Ability to conduct performance analysis and troubleshoot large scale distributed systems.

Should be highly proactive with a keen focus on improving uptime/availability of our mission-critical services.

Experience with big data technologies - Spark, Flink, Iceberg or emerging GenAI/ML like Ray/MLflow/model serving) technologies.

Experience of Linux, database and security concepts.

Minimum Qualifications

BS/MS in computer science or equivalent experience.

2+ years experience programming skills in one of the following areas: Python, Java, or Go.

2+ years experience in Kubernetes, Docker or other container orchestration framework.

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 $150,400 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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