Head of Machine Learning Engineering
Core
Define and lead ML strategy, team, and delivery for the Core Experience pillar (search, pricing, payments, fare intelligence, conversational interfaces) to improve customer experience and drive business outcomes.
Role type
Senior leadership, manager-of-managers (Head of Machine Learning)
Builds
Production ML systems for search relevance, payments models, fare optimization, supply automation, and conversational AI
Domain
Travel technology, rail marketplaces, AI/ML
Deliverable
production ML models
Required skills
Strategic planning and roadmap definition, team leadership (managing managers), budget ownership (infrastructure and vendor costs), operational maturity (SLIs/SLOs, incident management), stakeholder management, hiring and talent development, full ML lifecycle expertise
Preferred skills
AWS cloud infrastructure, cross-functional delivery in product-led organizations, conversational and agent-based systems deployment, travel/transport/marketplace domain experience
Technologies
Python, scikit-learn, NumPy, LightGBM, Pandas, LangChain, LangGraph, TensorFlow, PySpark, AWS (EMR, ECS, Athena), Terraform, Docker, Airflow, MLFlow, New Relic, Braintrust
Responsibilities
Define vision, strategy, and roadmap for ML across the Core Experience pillar; lead multiple ML teams through team leads; coach managers and senior ICs; drive delivery of end-to-end ML systems; shape AI practices and governance for LLM-based features and agentic systems
Seniority
Senior, hands-on IC leadership (manager-of-managers)
