Top AI & Machine Learning Jobs

Work as an individual contributor on customer analytics for B2C brands: develop automated reporting and self-serve solutions, apply advanced statistical and big-data techniques, translate business problems to analytical approaches, deliver insights to senior stakeholders, own projects end-to-end, and collaborate with Product, Engineering, and Strategy teams to drive customer acquisition, engagement, and lifetime value.

Design and deliver AI-powered fraud defenses, build cloud-native systems, collaborate across teams, and mentor engineers in a dynamic environment.

Design, build, and scale end-to-end ML systems for distribution and supply: problem framing, data sourcing, feature engineering, model development, deployment, monitoring, and operational support. Collaborate with product and engineering teams, drive ML best practices (experimentation, observability, reliability), and mentor other engineers to improve ML engineering across domains.

Lead hands-on prototyping and productionization of AI-powered traveler experiences. Define reusable AI patterns, evaluate frontier models, partner with engineering/design/data science, set metrics and experimentation, ensure guardrails and quality, and share playbooks across the company.

Design, implement, test, and operate scalable, reliable ML services and pipelines. Collaborate with cross-functional teams to productionize models, own model lifecycle (data prep, training, deployment, monitoring), improve operational quality, and automate ML workflows for reliability and performance at scale.

Define and execute the scientific roadmap for search and recommendation: architect large-scale ranking and retrieval systems, develop and distill Ranking Foundation Models, integrate vector/RAG/hybrid retrieval into production, partner with product and engineering, and lead and scale multidisciplinary ML teams to optimize marketplace health.

Lead quantitative UX research for AI-driven products: define measurement strategy, design large-scale surveys and behavioral analyses, build psychometric and evaluation frameworks, write SQL/Python/R analyses, partner with AI/ML and product teams, and mentor researchers to embed human-centered metrics into AI development.

Design and manage high-throughput ML systems for TravelAds, automate ML lifecycle processes, and lead cross-team ML initiatives with a focus on performance and reliability.

The Senior Machine Learning Scientist will lead the development of ML systems for personalized CRM marketing, define technical roadmaps, and mentor team members while collaborating with cross-functional teams.

Lead planning and delivery of applied ML recommendations and relevance initiatives for B2B products. Translate partner needs into technical requirements, define metrics, manage experiments, coordinate cross-functional teams, and drive model development, testing, deployment, and post-launch learning to improve recommendation quality and partner outcomes.