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Overview Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life…
Develops AI-driven search platforms for enterprise question-answering, integrating LLMs with traditional search/relevance tech to improve conversational search systems for millions of users.
Build and deploy AI solutions using NLP, LLMs, and knowledge graphs for financial workplace investing products, focusing on document processing, assistants, and anomaly detection.
Build and deploy generative AI solutions using LLMs, RAG, and agentic workflows for legal-tech products, contributing directly to production code.
Lead a data science team to build predictive models and insights for media brands, focusing on customer lifetime value, engagement, and personalization across apps and newsletters using Python, SQL, and ML.
Designs, builds, and deploys scalable ML models and pipelines for Disney’s media/commerce platforms, focusing on production-grade systems, MLOps, and cross-team collaboration.
Builds and maintains scalable data pipelines and feature engineering workflows on Databricks Lakehouse, transforming healthcare/member data into trusted assets for AI, ML, and decision intelligence. Focuses on real-time ingestion, data quality, governance, and collaboration with data science/AI teams.
AI Engineer building and scaling end-to-end AI systems—LLMs, generative AI, recommendation systems—from experimentation through production deployment using Python, C++, and deep learning frameworks at DIDI Mobility.
Build and scale Reddit’s next-gen ML embedding platform, designing distributed training and low-latency serving systems that power personalized recommendations across the site.
Owns the strategy for Minted’s search, browse, and product detail pages to improve discovery and conversion using structured product data and experimentation.
Build and deploy production-grade ML models and MLOps pipelines for a credit union, using Python, PyTorch/TensorFlow, Azure ML, Databricks, and MLflow to drive automation and decision-making.
Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it…
Lead strategy for Upstart's credit conversion funnel, driving growth through data optimization and AI-powered lending technology.
ByteDance is seeking a network-focused professional to design, build, operate, and optimize its global network spanning backbone, data centers, public cloud, and edge/CDN, working with compute, storage, database, and recommendation-system teams.
About Us Come [legally] hack with us on the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every…
Leads applied ML and NLP efforts to optimize Target’s search and browse systems, deploying LLMs and ranking models to enhance ecommerce relevance at scale.
Builds and analyzes personalized recommendation feeds for 500M+ users, running A/B tests and growth accounting to improve engagement and retention.
Build and maintain backend services and APIs for PlayStation’s new mobile and web experiences, using Node.js, TypeScript, PostgreSQL, GraphQL, and AWS.
Build scalable backend services and APIs for PlayStation’s new mobile and web experiences that connect gamers, using Node.js, TypeScript, and AWS.
The Data Product Manager leads the development of dynamic, AI-driven product assortment systems for Delivery Hero’s quick commerce platform, optimizing customer discovery and conversion through data-driven personalization and machine learning.
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