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AIML- Software Engineer, Machine Learning Platform Technologies

Job in Seattle, King County, Washington, 98127, USA
Listing for: Apple Inc.
Full Time position
Listed on 2025-11-27
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 171600 - 302200 USD Yearly USD 171600.00 302200.00 YEAR
Job Description & How to Apply Below
AIML
- Software Engineer, Machine Learning Platform Technologies

Seattle, Washington, United States Machine Learning and AI

Description

We are responsible for Search infrastructure  design and build infrastructure to support features that empowers Spotlight and Siri users. We are responsible for the end to end ownership of our pipelines and services, from conception, to design, to implementation, to deployment, to operations. As a result, each one of us takes our responsibilities seriously, while having a lot of fun building the best services at scale we can.

We have numerous latency sensitive services, jobs and pipelines that solve problems within Search infrastructure engineering. As part of this team you’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data.

Candidate who joins our team will be responsible for the following
* Drive the feature from inception to production launch that will help improve Spotlight Search, Siri & other Apple products.
* Work with cross functional teams & stakeholders to solve ambiguous problems.
* Build software that improves experimentation and helps team make better decisions about what to try next.
* Drive the team & organizational goals & OKRs.
* Deliver artifacts, code with high quality.

Minimum Qualifications
  • Strong coding skills in any programming language
  • Strong problem solving skills and ability to write performant and high quality clean code.
  • Quick learner who can pickup new technology stacks, programming languages and be able to deliver features.
  • Experience solving Big Data problems (data lake, data pipelines) — we have problems that are far too large to fit on a single box, and we need to be able to build tools to solve them.
  • Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative environment
  • Experience with inferencing of LLMs.
Preferred Qualifications
  • Proficiency in at least one of Scala, Golang, Python is a plus.
  • Experience with user search queries & synthetic query generation is a plus.
  • Experience building Kubernetes based jobs, services & cloud platforms is a plus.
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 $171,600 and $302,200, 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 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 .

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