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Apple AIML - Machine Learning Engineer Siri & Information Intelligence SII United States, California, Cupertino 549794746
19.09.2024
Description
THIS ROLE WILL HAVE THE FOLLOWING RESPONSIBILITIES:- Analyzing search ranking and relevance requirements issues and opportunities- Utilizing PyTorch and proprietary tools for training deep learning models- Understanding product requirements then translating them into modeling tasks and engineering tasks- Building machine-learned models for query understanding and search ranking- Develop and maintain large scale indexing and ML data pipelines
Minimum Qualifications
- You have 8+ years of experience in natural language processing, machine learning or deep learning
- You are proficient in one of following languages: Python Go Java C++, demonstrating strong background in algorithms and data structures
- You have excellent inter personal skills ability to work independently as well as in a team
- You have excellent knowledge and good practical skills in major machine learning algorithms
- We partner with a variety of cross functional teams across the company
- You will need excellent communication skills and the ability to collaborate effectively
- Masters Degree in Computer Science or equivalent experience in machine learning or related industry
Preferred Qualifications
- Ph.D in Computer Science or Machine Learning
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.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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