AIML - Senior Engineering Manager, Summarization

Apple; Seattle (WA); On-site; USD 208,000 - 361,000; Full time

Job summary

An established industry player is seeking a Senior Engineering Manager to lead innovative projects in AI and machine learning. In this pivotal role, you will drive the development of cutting-edge generative AI technology, creating actionable summaries for users across various applications. Your leadership will guide a talented team in enhancing the quality of summarization models, ensuring they deliver accurate and concise information. This is an exciting opportunity to influence the user experience for millions, contributing to the advancement of AI within a dynamic and collaborative environment. If you are passionate about technology and eager to make a significant impact, this role is for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products

Free services

Educational reimbursement

Discretionary bonuses

Employee stock purchase plan

Qualifications

• 5+ years of experience in leading ML projects focused on NLP and generative AI.
• Proven track record in delivering technology/products across the ML lifecycle.

Responsibilities

• Lead R&D to generate high-quality summaries for Apple users across various platforms.
• Collaborate with teams to improve summarization models and enhance user experiences.

Skills

Natural Language Processing

Generative AI Models

Machine Learning

Engineering Leadership

Communication Skills

Education

MS in Computer Science

Ph.D. in Machine Learning

Tools

Apple's Private Cloud Compute

LLM-based Models

Job description

AIML - Senior Engineering Manager, Summarization

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Mar 21, 2025

Role Number: 200595542

Apple is where individual imaginations gather together, contributing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience, we deliver results by strengthening each other’s ideas. That happens because we believe we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something. In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One integral part of the user experience is providing customizable summaries for Apple users’ multiple content consumption for both on-device personal content and on-server world knowledge in Siri, Safari, and many other 1P and 3P Apps in Apple’s ecosystem across different platforms. This means generating accurate, concise, grounded summaries of notifications, messages, emails, documents, web answers, etc, in rich and intuitive experiences. Create ground-breaking Generative AI technology to enable fast, actionable summaries on all devices for all Apps. You will lead the strong team of MLE, SWE, and data engineers responsible for delivering efficient and effective Generative AI models to build and improve the summarization capabilities across different data types.

Description

Drive E2E R&D and engineering to generate high-quality summaries and experiences for Apple users. This includes on-device LLM models for personal content summarization across 1P and 3P apps, and powerful summarization models on Apple’s Private Cloud Compute servers. In addition, improve the summarization models’ quality for world knowledge-seeking questions and Safari pages to provide accurate answers and highlight web page gists in real-time. Lead the team to develop SOTA LLM-based generative models, groundedness models, and safety models for accurate, grounded, concise, and safe summaries. Develop sophisticated on-device and on-server software frameworks for context integration fast and cost-efficient LLM-based model inference. Integrate the Apple ecosystem with Apple’s LLM infrastructure and generative models to deliver delightful user experiences. Devise the product vision and strategy and execute the plan to deliver the highest quality end-user experience. Collaborate with various organizational partners to profoundly impact billions of Apple users worldwide.

Minimum Qualifications

1. 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
2. Proven record of consistent delivery of technology/products across the full Machine Learning life cycle
3. MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field

Preferred Qualifications

1. Strong background and experience in Machine Learning, NLP, and RAG.
2. Strong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models’ safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability.
3. Exceptional verbal and written communication skills to lead
4. Excellent product vision and sound business acumen. Ability to manage long-term strategy and short-term deliverables.
5. Strong engineering leadership and fundamentals.

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 $208,300 and $360,200, 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.

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.