Responsible for building and evaluating GenAI
and LLM-powered solutions and AI agents that improve post-booking customer experience.
Owns end-to-end ML and GenAI projects—from problem framing and data preparation through model/agent design, orchestration, deployment, and continuous evaluation.
Applies deep expertise in applied ML, Generative AI, and rigorous experimentation to design robust evaluation frameworks (A/B tests, offline metrics, qualitative assessments).
Partners closely with product, engineering, and operations while mentoring junior scientists and helping define best practices for AI agent development and evaluation.
Develops state-of-the-art machine learning and AI solutions to power and enhance the customer experience across highly complex post-booking recommendations, customer service, and trip management use cases.

PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Economics, Operations Research) and ~3+ years of industry experience; or Master’s degree in a quantitative field with ~5+ years of relevant industry experience.
Proven track record of building and deploying ML models that meaningfully impact business metrics in a production environment.
Strong knowledge of machine learning theory and practice (e.g., supervised learning, representation learning, ranking/recommendation, deep learning).
Solid grounding in statistics, experimental design (A/B testing), and basic causal inference; comfortable designing and analyzing online experiments.
Able to design end-to-end ML solutions: frame the problem, choose data sources, select algorithms, define evaluation strategies, and iterate based on results.
Strong programming skills in Python and its data/ML ecosystem (e.g., pandas, scikit-learn, PyTorch/TensorFlow, PySpark), plus proficiency in SQL.
Hands-on experience using GenAI / LLM APIs (e.g., OpenAI, Hugging Face, Anthropic, Gemini) in prototypes or production is highly desired.
Excellent written and verbal communication skills; able to tell a compelling story with data and models and influence decisions.

Senior Machine Learning Scientist

Key skills