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Apple AIML - Staff Machine Learning Engineer/Scientist United States, Washington, Seattle 919946965
21.11.2024
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Description
* Analyzing search ranking and relevance requirements issues and opportunities* Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models* Understanding product requirements then translating them into modeling tasks and engineering tasks* Building machine-learned models for search relevance ranking query understanding and questioning* Publishing and present in several top NLP conferences like EMNLP and NAACL
Key Qualifications
- Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval.
- Mastery of one of following languages: Python, Go, Java, C++.
- Strong coding skills and solid understanding of algorithms, data structures, and distributed system design.
- Excellent interpersonal skills and demonstrated ability to work independently as well as in a team.
- Excellent practical skills with and state of the art knowledge of major machine learning algorithms.
Education & Experience
BS, MS, or Ph.D in Computer Science, Machine Learning, or related field
Additional Requirements
- Experience with large scale search and machine learning systems
- Excellent data analytics skills
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 $166,600 and $296,300, 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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