Aiml – Machine Learning Scientist-Adaptive Devices and Platforms

Aiml – Machine Learning Scientist-Adaptive Devices and Platforms

Requirements

• 4+ years of experience building CV systems using; VLM, diffusion models, multimodal models, etc.
• 4+ years of experience with PyTorch and/or TensorFlow on platforms such as Hugging Face
• 3+ years applying machine learning methods to products, features and/or services
• Practical experience with all aspects of model life-cycle management, including data curation and collection, pre-training and fine-tuning, model evaluation and experimentation, model deployment and debugging, and post-deployment monitoring and updating.
• Publications in research communities such as; NIPS, CVPR, etc.
• Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)
• Outstanding communication skills with an interest in unraveling sophisticated and nuanced issues
• Ph.D. in Computer Science, Electrical Engineering, Statistics, Physics or related fields.

Responsibilities

• Conceptualize, rapidly prototype, and ship next-generation technologies and features.
• Work with a passionate, mission-focused team.
• Use machine learning to craft transformative new capabilities for Apple products.
• Write elegant code and apply innovative new technologies in the service of human-centered design.

Preferred Qualifications

• Skill in efficiently developing new algorithms, data structures, inference approaches, etc.
• Enthusiasm for continuing to stay current on state-of-the-art techniques in the research literature
• Excellent interpersonal and collaboration skills
• Experience deploying and optimizing CV models and VLMs for specific contexts
• Knowledge of ML model optimization technique beyond quantization
• Strong familiarity in another domain of AI/ML outside of CV such as NLP, ASR, robotics, multimodality, reinforcement learning, etc.
• Experience in C/C++/Objective-C development is optional, but preferred