Senior Staff/Staff Machine Learning Engineer
Core
Building GenAI, self-learning systems, and foundational models (LLMs, agents, knowledge graphs) to solve complex eCommerce scenarios and optimize customer experience.
Role type
Senior Staff/Staff Machine Learning Engineer (LLM & Foundation Models)
Builds
Production GenAI systems, predictive/compound AI models, and E2E foundation model pipelines for a global eCommerce platform.
Domain
eCommerce, Generative AI, Large Language Models, Knowledge Graphs, NLP
Deliverable
production ML models
Required skills
Large language model fine-tuning and deployment, statistical model architecture, deep learning, SQL, Python, PySpark, Scala, R, PyTorch, TensorFlow, Spark, BigQuery, dimension reduction, cloud analytical stacks (Lakes, warehouse, ETL), inference platforms (AWS, Azure)
Preferred skills
Experience with data lakes, data normalization, visualization frameworks, complex data visualization tools
Technologies
PyTorch, TensorFlow, Spark, BigQuery, AWS, Azure
Responsibilities
Work on GenAI and self-learning systems for eCommerce; Develop statistical models for predictive and compound AI; Train foundational models; Define processes and experiments for E2E foundation models; Build E2E AI pipelines for storing/servicing foundational models; Mentor team members on data frameworks and statistical methodologies; Ensure model training security and compliance; Collaborate cross-functionally to align models with company AI strategy.
Seniority
Senior Staff/Staff, hands-on IC with mentorship
