Senior Software Engineer- Apple Maps
Cupertino, 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: Nov 16, 2024Weekly Hours: 40
Role Number:200579106
Apple Maps is one of the world's largest mapping platforms, serving billions of requests each week. The platform supports not only the Maps app on the iPhone, iPad, Apple Watch, CarPlay, and Mac, but also many third-party apps used by millions of customers around the world. We are looking for a dynamic, highly motivated individual to join the Maps Evaluations Platforms team. This position is responsible for delivering platform services to enable measurement of the success of Maps features across millions of devices. You will be tasked with designing and delivering highly scalable, highly available platform services for the Maps Eval group.
Description
This role is a senior level software engineer role and it will require strong technical leadership skills, broad knowledge of different software engineering domains, and will require deep expertise in AI/ML Ops lifecycle. This person will be required to provide lead the development of the next generation evaluation and ML experimentation platform. In addition to being a strong software engineer, skills essential to this role include resourcefulness, high attention to detail, and being a great communicator and listener. The ideal candidate loves data and will dedicate his or her efforts to ensure we are collecting meaningful data to help continuously improve Maps.
Minimum Qualifications
- Experience designing and developing high-volume, low-latency Web Applications for mission-critical systems and delivering high-availability and performance.
- Strong background in designing highly scalable micro services using Java frameworks like SpringBoot or similar.
- Strong background in big data warehouses and familiarity with Spark, large scale query engines such as Snowflake.
- Experience in developing ML models such as Neural Network, Linear/Logistical Regression models. Strong understanding of ML Ops lifecycle.
- Experience in developing LLM based solutions such as RAG architecture.
- Manage stakeholder expectations and accomplish quantifiable objectives with a data-driven methodology.
- Provide technical leadership and domain expertise.
- Exceptional written and verbal communication skills.
Preferred Qualifications
- Web development experience using JS frameworks such as ReactJS or AngularJS preferred.
- BS degree in computer science or equivalent field plus minimum of 5 years experience or MS degree plus minimum of 3 years 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 $175,800 and $312,200, 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 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: Angular Architecture Big Data Computer Science Engineering Java LLMs Machine Learning ML models RAG Snowflake Spark
Perks/benefits: Career development Equity / stock options Health care Relocation support
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