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Build AI-powered recommendation and personalization models, apply machine learning to product features, and drive data-driven decisions in a fast-growing tech platform.
Build and optimize backend services for a large-model platform, implementing cloud-native features like service mesh and high-availability patterns for multimodal LLM inference.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the…
Build and deploy production-grade reinforcement-learning models for mobile-game personalization, focusing on Bayesian Multi-Armed Bandits and scalable statistical methods.
Lead a team building large-scale AI recommendation systems for YouTube Ads, optimizing ad targeting and user models using ML infrastructure and generative AI tools.
Build and deploy AI/ML models and systems for personalization, recommendations, and generative AI solutions that drive measurable business impact.
Lead AI strategy for Bumble’s recommendation, ranking, and personalization systems, building production-grade ML models and AI agents with PyTorch and LLMs to boost engagement and safety.
Lead AI strategy for Bumble’s matching and recommendation systems, building production-grade ML models and AI agents with PyTorch and LLMs to improve user engagement and safety.
Lead a team building scalable travel systems: high-performance search, real-time pricing, supplier integrations, and AI-powered customer tools using TypeScript, Java, Go, Rust, and Python.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Lead the AI and data strategy for a compliance SaaS platform, building production-grade generative AI, LLM systems, and MLOps pipelines in a regulated financial-tech environment.
Lead a team to design, build, and deploy ML models for customer churn, segmentation, and recommendations in a growing ecommerce company.
Lead a data-science team building marketing models, recommendation engines, and customer-segmentation for a UK ecommerce retailer using Python, SQL, and neural networks.
Analyzes retail data to build ML models and dashboards that guide pricing, inventory and marketing decisions using Python, SQL and tools like TensorFlow and Tableau.
Lead a team building scalable legal-tech software with React, TypeScript, and .NET, driving architecture, mentoring engineers, and ensuring high-performance UI for data-heavy applications.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and fine-tune LLM-based relevance models and real-time reranking systems to improve e-commerce search quality across 40+ languages and 20+ retail domains.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Lead large-scale programs building AI-powered forecasting and guidance tools for Amazon Ads, coordinating engineering, science, and product teams to deliver campaign planning and optimization experiences.
Build and deploy production-grade AI agents using LLMs, RAG, and orchestration frameworks to power Workday’s HR platform at global scale.
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