Artificial Intelligence Engineer
7 days ago
Cupertino, California, United States
About the RoleWe are seeking a seasoned Machine Learning Engineer to join our team in Cupertino, California. As a key member of our Camera & Photos team, you will be responsible for developing and implementing innovative machine learning algorithms that enhance the iPhone experience.
The ideal candidate will have a strong background in machine learning and deep learning, with hands-on experience with large language models (LLMs) and parameter efficient fine-tuning of LLMs. You will work closely with our cross-functional team to design and develop high-quality software solutions that meet the needs of our users.
Responsibilities- Design and implement machine learning algorithms for photo features using PyTorch and other deep learning toolkits
- Collaborate with engineers and researchers to develop and deploy production-ready ML models
- Optimize ML algorithms for inference speed and efficiency
- Contribute to the development of new ML-based features and technologies
- 5+ years of industry experience building machine learning and deep learning-based software applications
- Strong machine learning and deep learning fundamentals
- Hands-on experience with LLMs and parameter efficient fine-tuning of LLMs
- Solid understanding of inference speed-up techniques such as speculative decoding and optimization of LLMs for human preferences
- Proficiency with deep learning toolkits such as PyTorch
At Apple, we offer a comprehensive benefits package, including:
- A competitive salary range of $175,800 - $312,200 based on your skills, qualifications, experience, and location
- Eligibility for discretionary restricted stock unit awards and participation in Apple's Employee Stock Purchase Plan
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and services
- Reimbursement for education expenses related to advancing your career at Apple
Apple is an equal opportunity employer 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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