- Capital One (New York, NY)
- …Models + PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) + Member of technical leadership ... for model deployment for a very large user behavior model + Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR + Worked on scaling graph models to greater than 50m nodes Experience with… more
- Meta (New York, NY)
- …scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures 12. Experience with Python, C++, C, Julia, or ... other related language 13. Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow 14. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred… more
- Capital One (New York, NY)
- …Models** + PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) + Multiple papers on topics ... relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR + Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production… more
- Capital One (New York, NY)
- …Models** + PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) + Multiple papers on topics ... relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR + Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production… more
- Microsoft Corporation (New York, NY)
- …understanding of fundamental ML algorithms (supervised, unsupervised) and modern neural network architectures. + Experience with MLOps practices, including model ... versioning, automated testing, monitoring, and CI/CD for machine learning. + A record of publication in top-tier scientific venues (eg, NeurIPS, ICML, ICLR, ACL, EMNLP, KDD). + Ability to translate complex ML concepts into business value and communicate… more
- GE Vernova (Niskayuna, NY)
- …developing and leveraging state-of-the-art capabilities in knowledge representation, graph neural networks (GNNs), generative AI, knowledge graphs (KGs), and ... advanced reasoning algorithms. + Collaborate with teams of peer researchers on new and continuing projects + Demonstrate value of AI through early prototypes and solutions for real-world problems + Employ software libraries (eg, NetworkX, PyTorch Geometric),… more
- Amazon (New York, NY)
- …programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with ... modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected… more
- Amazon (New York, NY)
- …scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top-tier journals and conferences. Functional thought ... leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Excellent written and spoken communication skills with successful… more
- Microsoft Corporation (New York, NY)
- …at all aspects of modeling including training data, features, the actual model ( neural nets, linear models, decision trees etc.) and offline and online evaluation of ... those models. Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows. At its core, our team utilizes signals of user and advertiser intent to determine which ads are… more
- New York Genome Center (New York, NY)
- …re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, ... differentiate human neurons from stem cells, find vulnerabilities in cancer cells using patient-derived organoids and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental… more