- Lilly (South San Francisco, CA)
- …in top-tier venues on molecular generation or property prediction + Expertise in graph neural networks and geometric deep learning for molecules + Strong ... to machine learning models trained on Lilly's extensive proprietary pharmaceutical research data. Through federated learning, the platform enables Lilly to build… more
- Walmart (Sunnyvale, CA)
- …and building cutting-edge scalable AI solutions (eg Large Language Model, Graph Neural Network, reinforcement learning models, multi-objective optimization ... across the globe. We are looking for a passionate, talented applied scientist experienced in the field of Recommender Systems and/or Information Retrieval, and/or… more
- SAP (Palo Alto, CA)
- …and scalable ML solutions. . Nice to have some Knowledge Graph exposure. (GraphRAG, Graph ML like Graph Neural Networks etc) Meet your team: SAP's AI ... with SAP's strategic objectives and product roadmap. . Establish and lead research collaborations with academic and commercial partners. . Contribute towards thought… more
- JPMorgan Chase (Plano, TX)
- …with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, XGBoost, graph analytics, and neural nets. + Excellent solution ideation, problem ... + Stay informed about the latest trends in the AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset. **Required qualifications, capabilities,… more
- JPMorgan Chase (New York, NY)
- …Understanding and past experience applying ML models including decision trees, random forests, neural networks, graph models and Large Language Models (LLMs). + ... of $10 trillion. As a Vice President Applied AI/ML Scientist within our payment solutions team, you will be...discipline (eg, Computer Science, Data Science, Mathematics/Statistics, or Operations Research ) with a minimum of 6 years of industry… more
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