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Tech Stack
Tools & technologiesCaffeHadoopKerasOpen SourcePythonPyTorchSparkSQLTensorflow
About the role
Key responsibilities & impact- Gather relevant information to define business problems
- Link AI methodologies to identified business challenges
- Develop AI/ML applications using current industry and academic advancements
- Work cross-functionally and across borders with colleagues to execute the AI agenda
- Participate in the Launch program, including orientation, professional skills workshops, Launch Innovation Week, social impact challenge, and Global Volunteer Challenge
- Protect Mastercard information and assets by following security policies, maintaining confidentiality and integrity, reporting suspected breaches, and completing mandatory security training
Requirements
What you’ll need- Currently enrolled in a bachelor’s or accelerated master’s program graduating between December 2026 – June 2027
- Less than 1 year of professional work experience, excluding internships
- Experience or demonstrated coursework in data analysis
- Knowledge of deep learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
- Knowledge of big data platforms such as Hadoop, Hive, Spark, and GPU clusters for deep learning
- Knowledge of classical machine learning algorithms, including Logistic Regression, Decision Trees, Clustering, TSNE, PCA, Bayesian models, and Time Series ARIMA/ARMA
- Knowledge of recommender systems, including Collaborative Filtering, FPMC, FISM, and Fossil
- Knowledge of deep learning and machine learning techniques including Random Forest, GBM, KNN, SVM, Bayesian models, text mining, Multilayer Perceptron, and neural networks
- LSTM and GRU experience is a plus
- Knowledge of optimization techniques including L1/L2 regularization, Adam, Adagrad, and Adadelta
- Knowledge of neural network cost functions including Contrastive Loss, Hinge Loss, Binary Cross Entropy, and Categorical Cross Entropy
- Experience developing applications in KRR, NLP, speech processing, and image processing
- Knowledge of production deep learning frameworks including TensorFlow, Keras, PyTorch, XGBoost, and Caffe
- Theono experience is a plus
- Must abide by Mastercard security policies and practices, ensure information confidentiality and integrity, report suspected security violations or breaches, and complete mandatory security training
Benefits
Comp & perks- Four-day orientation focused on getting to know Mastercard, building skills, and Mastercard’s culture
- Professional skills workshops
- Launch Innovation Week
- Social impact – pro bono team challenge
- Global Volunteer Challenge