As a Machine Learning Engineer you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apples products and services. You will implement robust scalable ML infrastructure including data storage processing and model serving components to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering data augmentation prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing feature engineering model training hyper-parameter tuning and model evaluation enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
BS in Computer Science or related field or equivalent.
3 years of machine learning engineering experience in feature engineering model training model serving model monitoring and model refresh management.
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Passionate about computer vision natural language processing especially in LLMs and Generative AI systems.
Knowledge with the common frameworks and tools such as PyPorch or TensorFlow.
Experience in Anomaly detection and forecasting & related methodologies
Experience and proficiency in python & writing efficient SQLs.
Strong coding and software engineering skills and familiarity with software engineering principles around testing code reviews and deployment.
Proven experience with transformer models such as BERT GPT etc. and a proven understanding of their underlying principles is a plus
Data Visualization Tools: Proficient in data visualization with experience in software such as Superset Streamlit Tableau Business Objects and Looker
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