AI/ML - Sr Performance Testing Frameworks Software Engineer
Apple
Software Engineering, Data Science
Cupertino, CA, USA
Posted on Oct 15, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200569688
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
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.