drjobs Lead Software Engineer in Test, Siri AI Quality Engineering

Lead Software Engineer in Test, Siri AI Quality Engineering

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job 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 Apples 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


  • 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


  • Experience with conversational AI technologies and frameworks
  • Familiarity with Apples research and products
  • Experience with audio signals and analysis
  • Experience with computer vision
  • Experience with robotics and automation

Employment Type

Full-Time

Company Industry

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