Machine Learning Intern, Wireless Technologies & Ecosystems
Job Summary: Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Data Scientist/Machine Leaning Intern with a passion for statistical analysis, building predictive models, and designing end to end frameworks to improve wireless performance of Apple products. You will work on feature engineering and developing machine learning models to optimize software algorithms with the ultimate goal of enhancing the wireless experience for Apple customers.
Key Qualifications:
- Ability to formulate a real-life challenge into a machine learning problem: accurately define the goal; design what data to be collected and how; establish models and identify/evaluate possible solutions
- Solid knowledge and experience with algorithms including classification, clustering, sensitivity analysis, decision trees, clustering, regression analysis
- Excellent programming skills in Python and familiar with major ML frameworks and packages
- Experience with feature engineering and designing datasets
- Knowledge of Objective-C or Swift to prototype algorithmic solutions
- Collaborative, creative and go-getter attitude
- Experience with data visualization and time series analysis is a plus
- Basic understanding of wireless technologies is a plus
Description:
Developing various predictive models that will be applied to optimize Wireless Performance of Apple products. You will research and develop innovative machine learning models to address various pain points in wireless technology domain. You will collaborate with broader teams on data collection and dataset design. Interfacing with various technology teams within the Product Development organization to present your prototypes and performance of various ML models.
Education:
- Currently pursuing a PHD, Masters or Bachelor’s degree in Computer Science / Machine Learning or Computer/Electrical Engineering