Multimodal and Generative Machine Learning Engineer

5 days ago


Cupertino, California, United States Apple Full time
Job Summary

We are seeking a highly skilled Multimodal and Generative ML Engineer to join our team at Apple. As a key member of our Sensor SW & Prototyping team, you will be responsible for developing, evaluating, and improving multimodal and generative models for real-world health and wellbeing applications.

Key Responsibilities
  • Develop and manage data pipelines for human and synthetic data
  • Leverage ML technologies such as reinforcement learning with human feedback and adversarial models
  • Enhance multimodal capabilities and adapt pre-trained models for new tasks
  • Work across the entire ML development cycle, including developing and managing data, managing ML training jobs, and building efficient and scalable model evaluation pipelines
  • Analyze model behavior, identify weaknesses, and drive design decisions with failure analysis
Requirements
  • Expertise in deep learning, including hands-on training and evaluation experience with transformers
  • Experience incorporating multiple modalities into large language models (LLMs)
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
  • Ability to write clean, performant code and collaborate using standard software development practices
Preferred Qualifications
  • BS and a minimum of 3 years relevant industry experience
What We Offer

At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. We also provide a range of benefits, including comprehensive medical and dental coverage, retirement benefits, and reimbursement for certain educational expenses. Additionally, Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through our Employee Stock Purchase Plan.



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