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Design and deploy AI agents to automate customer service, supply chain, and recommendations for JD.com’s global e-commerce and logistics platforms using ML, NLP, and reinforcement learning.
Lead a team of AI/ML engineers to build and scale YouTube Posts recommendation models, optimizing retrieval, ranking, and user engagement across the platform.
Lead Wallapop’s experimentation practice: set standards, improve statistical rigor, and coach teams in A/B testing and causal inference to drive data-driven product decisions across search, recommendations, and marketplace growth.
Build and optimize scalable big-data infrastructure for TikTok’s live-stream recommendation systems using Java/C++ and tools like Spark, Flink, Kafka, and Redis.
Graduate Big Data Engineer at TikTok designing and optimizing scalable recommendation system architecture using big data frameworks.
Build ML-driven features like personalized recommendations and content ranking for Nextdoor’s neighborhood network, running live experiments and collaborating with data scientists.
Build and maintain scalable data infrastructure and AI-powered analytics platforms for a media company, designing data lakes, pipelines, and customer data products to drive data-driven decisions.
Build and maintain scalable ML systems for enterprise commerce clients, focusing on reliability, low-latency inference, and MLOps best practices using Python, PyTorch, AWS, and Kubernetes.
Lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines, and mentor engineers to productionize personalization and recommendation systems for a global gaming commerce platform.
Build and deploy ML systems for crypto fraud detection, recommendations, and chatbots using deep learning and graph neural networks to secure and improve Coinbase’s platform.
Build and deploy ML models for real-time ride-sharing recommendations using deep learning frameworks like PyTorch or TensorFlow.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Build and improve large-scale machine learning systems to personalize Pinterest’s Homefeed, Ads, Search, and more using deep learning and big-data tech.
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Hello, we’re Instrumentl. Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed…
Lead a team of data scientists building and deploying large-scale machine learning models for travel search, pricing, and personalization using Python, PySpark, and deep learning frameworks.
Build and deploy ML models, predictive analytics, and optimization algorithms to solve business problems across DKSH’s supply chain and markets, using Python, SQL, and cloud platforms.
Senior Software Engineer at Microsoft builds and leads large-scale, cloud-based advertising platforms using distributed systems, AI, and analytics to serve billions of ad impressions globally.
Business Analyst to lead digital self-service features and AI-driven customer experience improvements for wm.com, partnering with UX, Data, and Product teams.
Build and deploy ML models that optimize hotel pricing using forecasting, reinforcement learning, and experimentation systems, turning data into revenue decisions.
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