Machine Learning / NLP Intern, Wireless Technologies & Ecosystems

  • Apple
  • Praktikumsamt beim Ministerialbeauftragten für die Gymnasien in Oberbayern-Ost, Beetzstraße, München, Germany
  • 23/12/2020
Full time Data Science Machine Learning Data Analytics Big Data Data Management Statistics

Job Description

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
  • Solid knowledge and experience with algorithms including classification, clustering, sensitivity analysis, decision trees, clustering, regression analysis.
  • Familiarity with NLP Pipeline and algorithms:-
    • NLP flow: Tokenization, lemmatization, stemming, vectorization and vector based classification/clustering.
    • Good grasp of Unsupervised Text Semantic Similarity Techniques: Word2Vect/Doc2Vect/Sent2Vect, GloVe, Transformer models (S-BERT, GTP-3)
    • Good grasp of Vector based Clustering techniques and related implementations including Annoy and FAISS.
    • Experience in NLP Based text clustering, sentiment analysis and text-based spam detection.
  • 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

DescriptionDeveloping various predictive models that will be applied to optimize Performance of Apple products. You will research and develop innovative machine learning models to address various pain points in wireless technology domain. Interfacing with various technology teams within the Product Development organization to present your prototypes and performance of various ML models.Education & ExperienceCurrently pursuing a PhD or Masters degree in Computer Science / Machine Learning or Computer/Electrical EngineeringAdditional Requirements

Please note the closing date for applications is Monday 11th January at 12 noon BST.

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants