Top Tech Jobs & Startup Jobs

The role involves collaborating with teams to develop software solutions, leading projects, applying design principles, and enhancing the car rental experience at Expedia Group.

The role involves developing machine learning algorithms to enhance customer experience. Responsibilities include end-to-end ML lifecycle management, validating models, and collaborating with teams to address complex problems.

Support sourcing and contracting across indirect spend categories: gather requirements, execute transactional sourcing, assist drafting and negotiation, coordinate cross-functional approvals, analyze spend and contracts, maintain project tracking, and improve procurement processes.

Lead end-to-end design, build, and deployment of production-scale GenAI, RAG, and multi-agent systems for growth marketing. Responsibilities include training and adapting LLMs (LoRA/QLoRA, RLHF/DPO), building multimodal pipelines, vector memory and embedding systems, agent orchestration, observability/safety, and mentoring teams while partnering with product and design.

Manage a portfolio of hotel and property partners to drive growth, optimize content/rates/availability, provide data-driven consulting, coach peers, execute market strategy, and perform partner visits (~20-30% travel).

Ensure accurate, scalable B2B partner commission payment operations by resolving complex payment and reconciliation issues, analyzing data for root causes and control gaps, partnering cross-functionally to improve processes, supporting escalations and reporting, and driving documentation, automation, and continuous improvement.

Lead design and delivery of scalable, reliable InsurTech services and APIs. Own complex multi-quarter initiatives, mentor engineers, ensure observability, resilience, and performance, and safely integrate AI/ML solutions. Collaborate cross-functionally to define metrics, drive data-driven decisions, and shape long-term architecture and operational excellence.

The Senior Machine Learning Scientist leads projects improving customer experiences through GenAI and LLM solutions, manages ML lifecycles, and collaborates with cross-functional teams.

Lead and grow a full-stack engineering team owning the Incentives platform for loyalty. Drive end-to-end delivery, system and API design, operational excellence (CI/CD, monitoring, incident response), and data-informed prioritization. Partner with Product, Data, and Architecture to evolve the platform, safely integrate AI/ML capabilities, and deliver high-scale, reliable loyalty services that drive business impact.

Use data, experimentation, and modeling to grow brands. Design and evaluate marketing experiments (A/B, causal inference), build models and datasets with SQL and Python/R, create dashboards and presentations, automate reporting, and enable self‑serve analytics for marketing and product stakeholders.