Apple's AI & Data Platform (AiDP) team is seeking a Software Engineer to work on building and scaling best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple.
Requirements
- 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.
- 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
Responsibilities
- work on building intelligent systems to democratize AI across a wide range of solutions within Apple.
- drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services.
- implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments.
- develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains.
- design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance.
Other
- BS in Computer Science or related field or equivalent.
- Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.
- Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker
