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Apple Machine Learning Engineer - Generative AI United States, California, Cupertino 349602783
19.12.2024
Minimum Qualifications
- Strong experience in machine learning model training, evaluation, and deployment, with a focus on data creation and management.
- Proficiency in Python and familiarity with ML tooling such as PyTorch and TensorFlow.
- Hands-on experience fine-tuning and deploying open-source models using industry-standard platforms like Hugging Face.
- Proven ability to debug and optimize model performance through experimentation.
- In-depth understanding of Transformer architecture and familiarity with current developments in fine-tuning large language models.
- Demonstrated ability to work cross-functionally, collaborating with teams across the software stack to build scalable workflows.
Preferred Qualifications
- Hands-on experience evaluating large language models (LLMs) and applying advanced metrics for performance analysis.
- Experience generating and using synthetic data to enhance model training and evaluation.
- Strong statistical background, including experience applying statistical methods for model evaluation and data analysis.
- Familiarity with techniques for interpreting and explaining the behavior of deep learning models, such as attention mechanisms and feature attribution.
- Experience with end-to-end model deployment in production environments, ensuring high-quality performance and seamless integration.
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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