12 jobs for "Machine Learning Engineer - Intelligent Quality Systems"

Machine Learning Engineer - Intelligent Quality Systems

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer - Intelligent Quality Systems

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Video Machine Learning Engineer, Audio & Media Technologies

At Apple - San Diego

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer - AI Evaluation & LLM Systems

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Machine Learning Engineer, Proactive

At Apple - Santa Clara

Posted on Oct 19

View job Apply on company site

Machine Learning Engineer - Proactive

At Apple - Cupertino

Posted on Oct 11

View job Apply on company site

Automation Quality Engineer

At Apple - Sunnyvale

Posted on Oct 16

View job Apply on company site

Research Engineer, Agentic Video Editing - TikTok

At TikTok - San Jose

Posted on Nov 6

View job Apply on company site

Software Engineer - Test and Validation

At Apple - San Diego

Posted on Oct 17

View job Apply on company site

Xcode Intelligence Foundation Engineer

At Apple - Cupertino

Posted on Oct 15

View job Apply on company site

Senior Search Engineer - Services Special Projects

At Apple - Cupertino

Posted on Oct 10

View job Apply on company site

Software Engineer - Test and Validation

At Apple - San Diego

Posted on Oct 17

View job Apply on company site

Apple

Xcode Intelligence Foundation Engineer

Cupertino, CA$150,400 – $277,600Posted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

The Xcode Intelligence Foundations team develops tools and systems that empower developers worldwide to leverage the creative power of machine learning in software development. From developers taking their first steps to teams building large, complex apps, our work underpins intelligence features across Xcode. Our goal is to equip developers on Apple platforms with dependable, well-crafted, and thoughtfully designed tools that reduce the time between idea and outcome, enhance software quality, and build remarkable experiences.

Description

This team is responsible for building and maintaining frameworks, systems, and approaches that integrate Xcode with a variety of intelligent tools for developers - including third-party coding agents and large language models.

Day-to-day, engineers on the Xcode Intelligence Foundations team work cross-functionally with peers at Apple and our industry partners to build features, troubleshoot issues, and help prototype and conceive the next generation of software development tools. Engineers are expected to actively participate in all aspects of building software - from design and planning through evaluation and long-term maintenance.

The transformational opportunities offered by LLMs across all disciplines come with new challenges, ranging from fundamentally new ways of modeling problems to the ethical implications of generative content; candidates for this team should be prepared to grapple with these challenges directly and responsibly. The best candidates for this team are curious, thoughtful, and always put people first.

Preferred Qualifications

Experience with generative AI concepts and technologies. A clear understanding of the basic elements of a Large Language Model as it exists today, why it can do the things it does, and where it may fall short

Familiarity with Swift and Apple's platforms and SDKs

Experience building developer tools or LLM-assisted experiences

Strong depth of understanding in one or more of: Performance optimization, API and standards design, compilers and lower-level runtime features, information retrieval structures and algorithms, language tooling and static analysis, or interfaces between probabilistic inference and deterministic software systems

Minimum Qualifications

3 years experience developing desktop or mobile applications

Bachelor's degree or equivalent experience in computer science or a related field

A track record of building thoughtful, polished user experiences.

A demonstrated ability to think critically and creatively

Instincts for clear problem solving and an ability to discern when a simpler or different approach is needed

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 $150,400 and $277,600, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile