Job Details

Weekly Hours: 40

Role Number: 200616867-3337

Summary

Are you passionate about creating ground-breaking technology for the next generation of Siri and spatial recognition that will usher in the next revolution of human-computer interaction? Join the Siri AI Quality Engineering team at Apple and play a key part in shipping groundbreaking technology for large-scale systems in natural language and artificial intelligence. Our products inspire and delight over a billion people worldwide!

We are looking for a Lead Software Development Engineer in Test with a strong background in machine learning, audio & visual technologies, as well as conversational and generative AI. This Engineer will be instrumental in upholding the quality of AI/ML-powered products.

Our team crafts and builds evaluation tools, automation frameworks, acoustic evaluation labs, and methodologies that enable product teams across Apple to develop ML-based solutions that power incredibly intelligent user experiences. You will engage with pioneering new-product teams around Apple; bringing your expertise and passion for innovation to solving technical problems for our next-generation products.

Description

As a technical lead, this role owns the qualification of spatial perception; the critical part for invoking Siri. Our product evaluation, automation, and test methodologies also powers future technologies and customer-facing product features at the intersection of AI/ML.

The primary responsibilities associated with this position range from data insights, design and implementation of product quality measures, ability to convert research findings into product quality improvements or frameworks, and close collaboration with product teams (both before & after product/feature launches). Our team plays a pivotal role in testing, maintaining, and shipping artifacts/features to make Siri and other AI/ML-related products even more empowering for our customers. You will also:

• Leverage innovative AI models to build applications and testing solutions on top of Apple’s most sophisticated technologies

• Write clean, maintainable and production code with appropriate documentation and tests

• Contribute to architecture decisions, design reviews and peer code reviews

• Design and implement testing solutions, automation, and build AI models for quality insights and testing frameworks

• Partner closely with other cross-functional teams to align research, messaging, and product roadmaps - all in the service of developing world-class products

• Prototype and test new insights to bring your research to life

Minimum Qualifications

• BS or MS or PhD in Computer Science or Electrical Engineering with strong coding & Machine Learning skills and 10+ years of proven experience in industry

• 4+ years designing and architecting tools and frameworks

• Expertise dealing with datasets and performing analysis for product quality insights

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

• Deep Understanding of ML-based concepts; including awareness of how data is used to support ML, experimentation, and analytics

• Experience analyzing user behavior, deriving patterns, and designing test strategies & automation frameworks

• Deep understanding of Prompt Engineering and Build Prompt fine-tuning

• Understanding of generative AI and experience using it for various applications

Preferred Qualifications

• Experience with conversational AI technologies and frameworks

• Familiarity with Apple's research and products

• Experience with audio signals and analysis

• Experience with computer vision

• Experience with robotics and automation

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .