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Apple AIML - ML Engineer Siri Search Relevance United States, California, Cupertino 729976575
06.06.2024
Description
As a member of our fast-paced group, you’ll have the unique and rewarding 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 ranking and relevance requirements, issues and opportunities- Understanding product requirements, translate them into modeling tasks and engineering tasks- Building machine learned models for search relevance, ranking and query understanding problems- Building end-to-end production system including query understanding and ranking to power search
Minimum Qualifications
- 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 good practical skills in major machine learning algorithms
- Excellent data analytical skills
- Good interpersonal skills
- Good team player
- MS or PhD or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field
Preferred Qualifications
- Experience with large scale search and machine learning systems is highly desired
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 $138,900 and $208,300, and your base pay will depend on your skills, qualifications, experience, and location.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.
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