Transform the experience of millions of travelers all over the world by developing and implementing cutting-edge AI and machine learning solutions
Requirements
- Advanced degree (PhD preferred) in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field
- 4+ years of professional experience in machine learning and AI
- Strong hands-on experience in causal modeling and experimental design
- Proven ability to analyze large, complex datasets and generate actionable insights
- Experience with end-to-end ML solution development
- Pragmatic problem-solving skills focused on scalable and effective methods
- Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued
Responsibilities
- Lead the end-to-end research, design, and implementation of scalable machine learning and AI solutions with engineering rigor
- Architect integrated technical solutions that leverage AI technologies, including model selection based on performance, latency, and cost considerations
- Evaluate and compare AI models (e.g., AWS, OpenAI) to determine best fit, and guide data preparation strategies to ensure quality and relevance
- Define success metrics, establish baselines, and plan experiments to measure outcomes and drive continuous improvement
- Apply expertise in prompt engineering to optimize model performance and troubleshoot prompt vs. model-related issues
- Design and evaluate single or multi-agent AI configurations for production readiness, including security and guardrail implementation
- Provide technical leadership and mentorship to ML scientists and developers, fostering collaboration across teams and promoting a strong data science culture
Other
- Excellent communication skills, with the ability to share ideas effectively with diverse technical and business audiences
- Ability to work with a creative engineering team building an intelligent, scalable, and personalized travel assistance platform
- Advanced degree (PhD preferred) in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field
- 4+ years of professional experience in machine learning and AI
- Ability to provide technical leadership and mentorship to ML scientists and developers
