AIML – Sr. Machine Learning Engineer, Siri Search Quality – Siri & Information Intelligence

Summary

Posted: Dec 19, 2024

Role Number:200584045

The Siri Search Quality team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri’s universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding, Retrieval, Ranking and Answer Generation of Siri Search and developing fundamental building blocks needed for Apple Intelligence. This involves developing sophisticated machine learning models, using LLM, embeddings and deep learning to build end-to-end production system including query understanding, ranking, LLM powered Search for Q&A, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

Description

As a member of our fast-paced group, you’ll have the unique and great opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will have the following responsibilities: – Analyzing search answer quality issues and opportunities – Understanding product requirements, translate them into modeling tasks and engineering tasks – Building machine learned models for search relevance, query understanding problems – Using LLM and embedding techniques to improve search quality – Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. – Building end-to-end production system including query understanding and ranking to power search

Minimum Qualifications

• BS in Computer Science, , Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
• Minimum of 4 years of experience in LLM, machine learning, deep learning, information retrieval, natural language processing or data mining
• Proficiency in one of following languages: Python, Go, Java, C++
• Excellent knowledge and practical skills in major machine learning algorithms
• Excellent data analytical experience
• Great interpersonal skill

Preferred Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field or equivalent work experience
• Experience with large scale search and machine learning systems is a plus
• Great teammate

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 $175,800 and $312,200, 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. Learn more 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.