Job Information
Apple AIML-Senior Backend Software Engineer, Measurement in Cupertino, California
AIML-Senior Backend Software Engineer, Measurement
Cupertino,California,United States
Machine Learning and AI
We are looking for an experienced software engineer to build online Experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible. Collaborate with data scientists and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services.
Description
The mission for Measurement organization is to measure, understand and proactively improve all Apple features. As part of the org, you will be responsible for designing, implementing features & building platforms to enable on-device and device/server side combined ML workflows. For example, build service to rollout / rollback experiments to billions of devices in just few hours, build highly scalable systems to process billions of events daily. You will be responsible for setting technical direction for the team, driving engineering quality for the platforms and providing mentorship to junior engineers. You will collaborate with cross-functional partners, customers and the team to build platform roadmap for next 2-3 years.
Minimum Qualifications
Experience building scalable micro-services
Experience with Object oriented programming languages like Java / Python
Experience with Kubernetes, Kafka or similar technologies
Experience working in large cross-functional projects
Experience with online Experimentation systems
Experience with SQL / NoSQL databases
Experience mentoring junior engineers and defining/driving best practices for technical design, code reviews, etc.
Experience with Javascript and UI frameworks/libraries like React, Ember, Angular, D3 is a plus
M.S. in Computer Science or a related field
5+ years of industry experience or (B.S. and 7+ years of industry experience)
Key Qualifications
Preferred Qualifications
- Experience with Machine Learning platforms is a plus
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 $143,100 and $264,200, 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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