AIML - Senior Engineering Program Manager, Siri and Information Intelligence

　　Seattle,Washington,United States

　　Machine Learning and AI

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　　Submit Resume AIML - Senior Engineering Program Manager, Siri and Information Intelligence

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　　Summary

　　Posted:Jan 22, 2024

　　Role Number: 200536151

　　Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Would you like to play a part in shipping groundbreaking technology for large-scale systems, natural language, and artificial intelligence? Are you passionate about building automation frameworks to evaluate ML models and validate AI applications? The Siri Product team is looking for people like you! Machine learning systems enable Siri to be a world-class personal assistant to more than one billion users worldwide. Measurement and Evaluation of these systems is critical to ensuring timely and accurate product releases. We are looking for a technical program/product manager to lead the development of the next phase of our ML measurement and evaluation platform. The successful candidate will have a proven track record of conceptualizing and delivering technically complex platform projects. They will have a solid understanding of the mechanics of developing ML systems and what it takes to scale and ship them to billions of users worldwide.

　　Key Qualifications

　　8+ years of experience in project or program management, particularly in the evaluation and integration of ML technologies, digital voice assistant experience is a plus

　　Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems.

　　Excellent communication and presentation skills, with the ability to convey complex technical information to diverse audiences.

　　Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap

　　Analytic mentality and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality

　　Excellent project management skills including project structuring and managing multiple work streams interdependently

　　Demonstrated ability to work collaboratively across the organization

　　Ability to independently draft and present deliverables, recommendations and communication strategies

　　Description

　　Day to day responsibilities include working with multiple product and Software QE and ML Evaluation teams to understand their requirements for evaluation of ML models and translating them into a roadmap. You will also work with the platform development team and key cross functional partners to prioritize and deliver this roadmap. In addition, you will partner with teams across Siri to drive adoption of the platform. Communication and presentation skills will be key to success in this role. In particular, you will: Communicate: Effectively communicate technical concepts to engineering partners, and executive team. Develop compelling presentations and documentation to showcase the capabilities and benefits of the ML evaluation platforms. Provide insights and recommendations based on evaluation findings. Engage with potential partners to understand their requirements and tailor presentations accordingly. Act as a liaison between technical teams and external partners, addressing queries and concerns. Build and maintain strong relationships with internal and external stakeholders. Platform Advocacy: Act as a spokesperson for the ML evaluation platforms, advocating its features, benefits, and potential applications. Develop internal marketing collateral and participate in meetings/internal events to promote the ML evaluation platforms. Work closely with engineering partner teams to support the platform's integration into new partnerships. Problem solving: Collaborate with machine learning engineers and data scientists to analyze and interpret results from ML experiments. Proactively identify issues/gaps and design and implement evaluation frameworks for assessing the performance and feasibility of ML technologies. Plan: Collaborate with engineering, data science, and product teams to define project scope and objectives. Create and manage project timelines with clear dependencies, critical path and systematic methodology to communicate status. Manage risks and mitigations, and re- plan as events warrant. Drive alignment across the organization and between teams Coordinate: Coordinate discussions with cross-functional teams involved in the evaluation of ML technologies. Collaborate with engineering, data science, and product teams to define project scope and objectives. Develop and manage project plans, ensuring achievements and deadlines are met. Implement: Drive on time delivery and deployment, identifying development and feasibility needs, establishing achievements for checkpoints and status updates

　　Education & Experience

　　Bachelors or Master’s degree or equivalent experience in Computer Science or related field. MBA preferred.

　　Additional Requirements

　　Pay & Benefits

　　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 $152,400.00 and $268,200.00, 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 (https://www.apple.com/careers/us/benefits.html) 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 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.Apple Footer

　　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 (Opens in a new window) .

　　Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

　　Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

　　Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

　　Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .