Machine Learning Manager, Search & Knowledge Platforms
Job description
App*** is where individual imaginations gather together, contributing to the values that lead to great work. Every The AI, Search & Knowledge Platforms team builds amazing products and services for App***'s customers while serving as a foundational partner to teams across App***. The team delivers world-class AI, search, and knowledge systems powering Siri, App*** Intelligence, Safari, and iMessage, and operates the foundational platforms and infrastructure that keep these intelligent experiences running at hyperscale. 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 In this role, you'll drive E2E R&D and engineering to generate high-quality summaries and experiences for App*** users. This includes on-device LLM models for personal content summarization across 1P and 3P apps, and powerful summarization models on App***’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 App*** ecosystem with App***’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 App*** users worldwide. Preferred Qualifications Strong background and experience in Machine Learning, NLP, and RAG. 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. Exceptional verbal and written communication skills to lead Excellent product vision and sound business acumen. Ability to manage long-term strategy and short-term deliverables. Strong engineering leadership and fundamentals. Minimum Qualifications MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field 8+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models Proven record of consistent delivery of technology/products across the full Machine Learning life cycle Pay & Benefits At App***, 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 $238,300 and $357,500, and your base pay will depend on your skills, qualifications, experience, and location. App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs. App*** employees are eligible for discretionary restricted stock unit awards, and can purchase App*** stock at a discount if voluntarily participating in App***'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 App***, 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 App*** Benefits Note: App*** benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.