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Senior Machine Learning Engineer for Generative AI at Apple
1 month ago
Job Summary:
Apple is looking for a Senior Machine Learning Engineer to join our Siri team in developing and shipping innovative technology to advance Siri and Apple Intelligence for Apple's customers. The ideal candidate will have a passion for applied research, strong modeling skills, and good software engineer skills.
About the Role:
We are seeking a highly talented Machine Learning Engineer to join our team. As a member of our team, you will play a key role in developing and shipping innovative technology to advance Siri and Apple Intelligence. You will be responsible for designing, implementing, and training machine learning models, as well as researching and experimenting with new ideas and evaluating their effectiveness. The ideal candidate will have a deep understanding of Generative AI techniques and proven track record of training or deploying LLMs/MLLMs to solve complex problems. Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow) is also required.
Responsibilities:
- Design, implement, and train machine learning models for Siri and Apple Intelligence
- Research and experiment with new ideas and evaluate their effectiveness
- Collaborate with cross-functional teams to develop and ship innovative technology
- Develop and maintain large-scale machine learning systems and infrastructure
Requirements:
- 5+ years of hands-on industry experience developing deep learning systems
- Deep understanding of Generative AI techniques and proven track record of training or deploying LLMs/MLLMs
- Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or Tensorflow)
- Excellent communication skills and ability to work in a team environment
What We Offer:
- Competitive salary and benefits package
- Opportunity to work on cutting-edge technology and innovative projects
- Collaborative and dynamic work environment
- Professional development opportunities and training
How to Apply:
Applicants should submit their resume and a cover letter outlining their experience and qualifications for the role. We look forward to hearing from you.
