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Apple AIML - Machine Learning Engineer Siri Comprehension Planning United States, California, Cupertino 580750502
01.08.2024
Description
As a machine learning engineer on the team, you will play a key role in our development. You will have responsibilities ranging from model design, implementation, training and evaluation. You will apply innovative machine learning and generative AI methods to continually advance Siri’s capabilities.
Minimum Qualifications
- Hands-on experience developing machine learning systems: defining and creating metrics and datasets, training models and performing error triage
- Familiarity with the theory and current literature of machine learning: optimization methods, common models, recent generative AI advances etc.
- Strong background in Python development and experience using Python for machine learning work
- Proficiency in deep learning / machine learning frameworks (e.g. PyTorch, TensorFlow)
- Excellent communication: strong interpersonal, verbal and written skills
- Masters or PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience
Preferred Qualifications
- Experience creating and maintaining large scale, robust machine learning processes for use in a multi-person team
- Experience developing, shipping and improving machine learning models in a production environment
- Experience developing machine learning models for natural language understanding or digital assistants
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 $143,100 and $264,200, 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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