AIML - Software Engineer, Machine Learning Platform & Infrastructure
Seattle, Washington, 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: Dec 4, 2024Role Number:200581752
The Apple Knowledge Infrastructure team is building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Description
Apple is hiring a software engineer for knowledge infrastructure team . You'll be working at the frontier of AI, crunching massive amounts of data for Apple's knowledge base. In a dynamic, continuously-integrated environment, you'll design and implement robust, scalable data/ML pipelines capable of processing an ever-growing data set while keeping latency low and quality high. You'll work closely with diverse data sources to integrate new knowledge, and with engineers from across Apple to deliver knowledge for customer-facing services. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.
Minimum Qualifications
- Bachelor's or Master's degree in Computer Science or equivalent work experience.
- Industry experience in fields related but not limited to distributed systems, databases, and machine learning
- Programming skills in Python and Java
- Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, Iceberg)
- Broad knowledge of computer science and systems; ability to quickly learn new skills
- Experience of developing, evaluating ML models and deploying models into production
- Proven system development skills in UNIX-type OS (e.g. Linux, Mac OS)
Preferred Qualifications
- Excellent problem-solving and analytic skills
- Good interpersonal skills and teamwork
- Real passion for building phenomenal products
- Curiosity to learn
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.
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.
Tags: Computer Science Distributed Systems HPC Java Linux Machine Learning ML models NLP Pipelines Python Spark
Perks/benefits: Career development Equity / stock options Health care Relocation support
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