Job Details

Weekly Hours: 40

Role Number: 200629484-0836

Summary

Join us in building the ML platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products!

We are looking for a front-end facing full stack software engineer who’s passionate about ML tooling. The ideal candidate has solid full stack development skills on web, mobile or desktop app development, passion in the fine details of UX, and a track record of building and shipping applications. You will be working closely with a world-class ML infra and platform team to build tooling and enable faster integration of bringing ML ideas into Apple products.

Description

Our group is part of Apple’s internal ML platform that enables ML teams to manage ML project life cycle - data engineering, labeling, training, online and offline evaluation, experimentation and more.

Within our group, you and your team will be collaborating closely with design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. You and your team will take full ownership of both web frontend and backend.

This position may be based in Seattle or Raleigh.

Minimum Qualifications

• 5+ years of experience developing and maintaining rich web applications for data intensive systems.

• Deep knowledge in frontend (TypeScript, React, Angular etc), backend & middleware (GraphQL, SQL/NoSQL databases, ElasticSearch, Kafka etc)

• Good sense of design and passion for UX and developer experience.

• Cloud experience (AWS, GCP, Azure, K8s etc) is a plus but is not required.

• Proven track record of delivering high impact projects through partnership across organization boundaries with product, design and infrastructure teams.

• Ability to clearly and concisely communicate about technical and architectural problems and work with key partners to iteratively solve the problems.

• Experience in machine learning is a plus but not required.

• Bachelors in Computer Science, related field or equivalent experience.

Preferred Qualifications

• Experience in machine learning tools and / or development

• Cloud experience (AWS, GCP, Azure, K8s etc) is a plus

• Golang experience

• Good sense of design and passion for UX and developer 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 $147,400 and $272,100, 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. (https://www.apple.com/careers/us/benefits.html)

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 seek to promote 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) .