To build and scale best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience at Apple
Requirements
- 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
- 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
- Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker
Responsibilities
- drive and lead functional & technical discussions with development teams and design and own end to end applications
- 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 robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments
- develop and deploy innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services
- 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 advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance
Other
- Passion for product ownership and track record will prove critical to success on our team
- 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
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition
- Relocation
