Apple Inc.
Lead Software Engineer in Test, Siri AI Quality Engineering
Apple Inc., Cupertino, California, United States, 95014
Cupertino, California, United States Machine Learning and AI
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 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 $212,000 and $318,400, 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. 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 .
#J-18808-Ljbffr
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 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 $212,000 and $318,400, 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. 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 .
#J-18808-Ljbffr