Software Engineer - Distributed Platform, Applied Machine Learning
Sunnyvale, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: May 22, 2024Weekly Hours: 40
Role Number:200545278
Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers and managers. We are looking for software engineer with passion for building scalable platform to delight users. This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple.
Key Qualifications
- 10+ years of experience as a platform Software Development Engineer
- Scripting and programming skills in Java, Python, Go
- Excellent Automation skills and CI/CD pipeline experience is a plus
- Good understanding of microservice topologies and deployment patterns in the cloud Experience with cloud orchestration engines such as Kubernetes, Apache Mesos, or similar Ability to triage problems, prioritize accordingly, and propose a resolution
- Passion for software architecture, APIs and dedication extensible software
- Creative, collaborative, and product-focused
- Excellent communication skills
Description
This role involves building platform and services to enable the full life cycle of ingestion, parsing, vectorization and serving of LLM models for several enterprise use cases at Apple. Engineers will be working on cutting edge technologies to build the foundation of enterprise ML serving applications using the latest innovation in Generative AI in a cloud native architecture.
Education & Experience
BS/MS in computer science or related field with 10+ years of experience
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 $170,700.00 and $300,200.00, 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.
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.
Tags: APIs Architecture CI/CD Computer Science DevOps Generative AI Java Kubernetes LLMs Machine Learning Open Source Python
Perks/benefits: Career development Equity / stock options Health care Relocation support
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
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