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Apple AI/ML - Machine Learning Engineer Siri Understanding United States, California, Cupertino 135736294
13.06.2024
Key Qualifications
- Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus
- Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally
- Strong coding skills in Python, C/C++; comfortable with frequent, incremental code testing and deployment
- Demonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problems
Education & Experience
PhD in a Machine Learning, Computer Science or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine Learning
Additional Requirements
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
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 $256,500, 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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