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Apple

AI/ML - Sr Performance Testing Frameworks Software Engineer

Apple, Cupertino, California, United States, 95014


AI/ML - Sr Performance Testing Frameworks Software Engineer

Cupertino,California,United States

Machine Learning and AI

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As part of Apple Intelligence, this team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!

Description

As a Performance Framework Software Engineer, you will develop the solutions required to deliver successful AIML products. These include design of automation and performance frameworks and methodologies for evaluating scalable performance measurements for ML based products. This role requires building and implementing tools, APIs and infrastructure for ML based product qualification, and tracking user impact metrics. Equally, this role will participate in the AIML iOS products roadmap decisions, contributing insights and recommendations derived from the in-depth understanding of the current success metrics of AIML products.

Minimum Qualifications

5+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive Frameworks / APIs, and tools.

Experience with designing of Designing and Architecting tools and frameworks designed for testing and measuring performance

Proven expertise in Swift, Python and XC test.

Strong software engineering skills, including system design, development, testing, debugging, release and maintenance

Key Qualifications

Preferred Qualifications

Strong software engineering skills, including system design, development, testing, debugging, release and maintenance

Experience with Objective-C or least one other object-oriented programming language (e.g., C++, C#, Java)

Excellent understanding of an ML-based product lifecycle

Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics

Ability to independently learn new technologies in a fast paced environment

Good knowledge on Performance concepts and performance measurement strategies

Experienced in multiple design patterns and multithreading

Shown problem solving and debugging skills: analyze and investigate failures, errors, and build issues, able to properly drive issues to completion and support issues with data

Excellent verbal and written communications skills

Possess an outgoing and positive attitude to mobilize and lead others

BS/MS in Computer Science or related field

Education & Experience

Additional Requirements

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 $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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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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 (Opens in a new window) .

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