Apple

The Siri team is redefining how hundreds of millions of people access information across Apple devices, with privacy built in from the ground up. As part of the Agentic Search Evaluation team, you will help advance Apple Intelligence through personalized search, result ranking, and low-latency production services that power experiences across Siri, Spotlight, Safari, Messages, and more. Your team researches and builds deep search systems for Personal Question Answering, enabling Siri to answer questions about a user's emails, messages, events, files, and more while keeping personal data private. We are looking for a Machine Learning Engineering Manager with a passion for building scalable, high-quality solutions to evaluate personalized search applications. In this role, you will directly shape how personalized search quality is assessed and improved by driving solutions across search quality, data quality, and both offline and online evaluation metrics. You will lead a team focused on evaluating personalized AI search experiences while designing evaluation systems, developing data generation and curation methods, and creating quality metrics frameworks for continuous improvement. Responsibilities Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized search. Design and implement offline and online metrics to assess quality at both the product and component levels, driving continuous improvement. Collaborate with cross-functional teams to define data and evaluation requirements, establish priorities, and identify opportunities to improve search quality. Define the long-term technical vision for personalized search quality, identify gaps, and drive solutions aligned with the broader product roadmap. Minimum Qualifications 6+ years of industry experience building machine learning or machine learning evaluation systems at scale. 2+ years of technical leadership or engineering management experience. Strong knowledge of machine learning fundamentals, neural network architectures, and software engineering using Python or C/C++. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Preferred Qualifications Experience designing and building production machine learning systems for search, natural language processing, recommendation systems, or information retrieval. Experience in data collection, data generation, or data quality assessment involving language, image, or multimodal data. Master's degree or Ph.D. in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $206,200 – $356,400 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies. Equal Opportunity Employer We are committed to creating an inclusive workplace where employment decisions are based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are committed to providing an accessible workplace and recruitment process. Reasonable accommodations are available for qualified applicants throughout the hiring process and employment in accordance with applicable laws.

We are looking for an outstanding Engineering Program Manager to deliver next-generation sensing software technologies for health and fitness applications. From machine learning to artificial intelligence, you will be working at the cutting edge of custom hardware, data, and software capabilities to deliver world-class experiences. We are looking for Program Managers who can thrive in a dynamic workplace where both individual drive and team collaboration are the keys to success. You have experience in product development and program, project, or product management, proven leadership capabilities, excellent communication skills, and a passion for shipping new technologies. Responsibilities Drive large, cross-functional efforts to build technologies across multiple engineering teams. Develop strong relationships and trust across system and module hardware and software teams. Drive feature definition, implementation, and testing while working closely with algorithm, software engineering, embedded firmware, hardware, and testing teams. Ensure effective inter-team coordination and communication throughout the development process. Create and maintain development schedules, identify critical paths, and manage execution timelines. Understand complex technical topics, identify project risks, and develop mitigation strategies. Synthesize large amounts of technical data into clear written and verbal analyses to support executive decision-making. Apply strong planning, leadership, and risk management practices to deliver successful products. Minimum Qualifications 1+ years of technical program or product management experience, or a leadership role in a large technical project. Knowledge of one or more of the following technologies: Embedded software Sensor systems Machine learning Computer vision Foundation models Natural Language Processing (NLP) Ability to dive into technical details. Excellent communication, presentation, organizational, and leadership skills. Ability to work with diverse teams and collaborate, influence, and negotiate effectively across all levels of management. Self-motivated, proactive, and able to perform well in a fast-paced environment while remaining calm and adaptable. Regularly incorporates generative AI tools into daily program management work as a standard practice. Bachelor's degree or higher in Engineering or a related technical discipline. Preferred Qualifications 5+ years of technical program management experience in consumer-facing product development. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a PhD in a technical discipline. Background in medical devices, coaching, or fitness. Direct experience shipping or supporting GenAI or LLM-powered consumer features. Compensation & Benefits Base pay is determined based on skills, qualifications, experience, and location. Base Salary Range: $144,600 – $263,800 USD Eligible employees may also receive: Employee stock purchase and ownership programs. Restricted stock unit (RSU) awards. Comprehensive medical and dental coverage. Retirement benefits. Employee discounts on products and services. Education assistance and tuition reimbursement for eligible programs. Performance bonuses or commission opportunities where applicable. Relocation assistance for eligible positions. Benefits and compensation are subject to eligibility requirements and applicable company policies.

Join our retail team and help create an outstanding customer experience by understanding each customer's needs, recommending the right products and services, and guiding them through available purchase options. Key Responsibilities Deliver exceptional customer service by identifying customer needs and providing personalized recommendations. Build strong product knowledge and stay up to date with the latest products, services, and sales processes. Educate customers about available products, services, accessories, and purchasing options. Support teammates by sharing knowledge and contributing to a collaborative store environment. Maintain accuracy in transactions, inventory handling, and store procedures. Assist in different areas of the store whenever needed to ensure smooth daily operations. Create a welcoming and inclusive environment where every customer and colleague feels respected. Demonstrate professionalism, integrity, and a commitment to diversity and inclusion in all interactions. Minimum Qualifications Availability to work flexible schedules based on business needs, including evenings, weekends, and public holidays. Reliable attendance and punctuality. Excellent customer service and communication skills. Ability to work in accordance with company policies and local regulations. Preferred Qualifications The ideal candidate is able to: Demonstrate strong knowledge of consumer technology products and digital services. Recommend personalized solutions based on customer needs. Communicate clearly and confidently with customers from diverse backgrounds. Thrive in a fast-paced retail environment while assisting multiple customers. Collaborate effectively as part of a team and share responsibility for store success. Continuously learn new products, services, and industry trends. Handle sensitive or confidential information with professionalism and discretion. Adapt quickly to changing priorities and business needs. Compensation & Benefits We offer a competitive compensation package based on experience, qualifications, skills, and location. Eligible employees may receive: Competitive base salary Performance-based bonuses or commission opportunities (where applicable) Employee stock purchase and ownership programs Comprehensive medical, dental, and vision insurance Retirement savings plans Employee discounts on products and services Paid time off and company holidays Professional development and career growth opportunities Education assistance and tuition reimbursement for eligible programs Relocation assistance for qualifying positions Benefits and compensation may vary depending on location, employment status, and eligibility requirements. Equal Opportunity Employer We are committed to creating an inclusive workplace where everyone has the opportunity to succeed. Employment decisions are made based on qualifications, merit, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Accessibility We are dedicated to providing an accessible workplace and recruitment process for all applicants. Reasonable accommodations are available for qualified individuals throughout the hiring process and employment, in accordance with applicable laws.