Jobs / App***
Machine Learning Manager, Search & Knowledge Platforms
App*** · Santa Clara, CA, United States
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Santa Clara, CA, United States238,300-357,500 USD/yearlyOnsite
Remuneration
238,300-357,500 USD/yearly
Location
Santa Clara, CA, United States
Visa sponsorship
Sponsors visa
Job summary
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***.
Benefits
At Apple, base pay is one part of our total compensation package and is determinThis 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 baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli
Qualifications
- 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.
- Strong background and experience in Machine Learning, NLP, and RAG.
- Exceptional verbal and written communication
- MS or Ph.
- 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 &
- 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.
Responsibilities
- 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.
- In this role, you'll drive E2E R&D and engineering to generate high-quality summaries and experiences for App*** users.
Skills
CommunicationLeadership
Degrees
AssociatePhD
Industry
EducationEnergy
Relocation
Yes