Applied Scientist, Tabular Foundational Model, AWS
Core
Building Amazon's frontier large-scale tabular foundation model (Mitra family) to enable zero-shot analytics, automated feature engineering, and cross-domain generalization for structured data.
Role type
Senior Applied Scientist (Tabular Foundational Models)
Builds
Large-scale tabular foundation models (Mitra family) for cloud computing and enterprise analytics
Domain
Cloud computing, Machine Learning, Tabular Data
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning methods, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Pre-training tabular foundational models on heterogeneous data, few-shot adaptation for domain-specific tasks, agentic feature engineering for high-cardinality features and missing data patterns
Seniority
Senior, hands-on IC