AIML - Software Engineer, Machine Learning Platform & Infrastructure

AIML- Software Engineer, Machine Learning Platform & Infrastructure

Machine Learning and AI

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly.

Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Siri and Apple products smarter for our users?

The MLPT & Infra teams are 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.

Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.

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

We design and build services and infrastructure to support features that empower billions of Apple users. Our team applies state-of-the-art machine learning techniques to improve the quality of search relevance, ranking, query understanding, and question answering systems.

We design and implement reliable production services and APIs which can handle millions of queries per second and build a search experience that delights our customers.

The ideal engineer deals with ambiguity well, designs large-scale systems, writes high-quality code, and is comfortable contributing code to both legacy and new systems.

Excellent communication skills will be required to coordinate work across multiple teams.

Minimum Qualifications

• Strong coding skills and solid understanding of algorithms and data structures.
• 3+ years of expert knowledge and experience in one or more languages such as Go, Python, Java, C++.
• Excellent interpersonal skills able to work independently as well as in a team.
• Solid understanding of the software development process, including unit testing and release management.

Preferred Qualifications

• Experience with Large Scale Distributed Systems is a plus.
• Experience in Machine Learning and / or Natural Language Processing is a plus.
• MS, Ph.D. in a related field, or equivalent experience is a plus.

Additional Requirements

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 about Apple Benefits.

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.

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