Job Description

Are you passionate about applying cutting-edge machine learning techniques to solve real- world problems in natural language processing, computer vision, recommendation systems, knowledge graph and more? Join the ACD Labs at Apple, where we're developing innovative AI solutions to power the next generation of digital experiences. We're seeking an exceptional Applied Machine Learning Engineer to join our research team, focusing on practical applications of advanced ML techniques. In this role, you'll work on challenging problems in NLP, deep neural networks, recommendation systems, and computer vision, translating state-of-the-art research into real-world solutions that enhance our products and services. As an Applied Machine Learning Engineer, you'll collaborate closely with our research scientists and distributed systems engineers, big data engineers and system architects to implement and fine-tune models for production environments. You'll have the opportunity to work on projects that directly impact millions of users, while staying at the forefront of AI innovation.

Description

Implement and fine-tune state-of-the-art machine learning models for NLP, computer vision, recommendation systems and other deep neural networks. Develop end-to-end ML pipelines, from data preprocessing to model deployment with focus on MLOps. Collaborate with research scientists to translate theoretical concepts into practical applications Optimize model performance for production environments, considering scalability and efficiency Conduct experiments to evaluate and improve model accuracy and effectiveness Implement and adapt latest advancements in deep learning architectures for specific use cases Contribute to the development of ML-powered features for Apple's digital products and services Work closely with cross-functional teams to integrate ML solutions into existing systems Stay current with the latest d

Minimum Qualifications

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field 3-5 years of experience in applied machine learning, with a focus on NLP, computer vision, or recommendation systems Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow Proven track record of implementing and fine-tuning deep learning models for real-world applications Experience with natural language processing techniques, including transformers and language models Familiarity with computer vision algorithms and deep learning architectures for image and video processing Knowledge of recommendation system algorithms and their practical applications Strong problem-solving skills and ability to translate complex problems into effective ML solutions Excellent communication skills and ability to work in a collaborative research environment

Preferred Qualifications

Experience with deploying ML models in production environments Familiarity with cloud-based ML platforms and services Knowledge of MLOps practices and tools Experience with multimodal learning and fusion of different data types Contributions to open-source ML projects or publications in applied ML





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