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Neural Network Jobs in Plano

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Search Results - Neural Network Jobs in Plano
Capital One-Plano
scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications:  •  Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions...
Capital One-Plano
of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications:  •  Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems...
Capital One-Plano
and building and deploying ML application platforms.  •  At least 4 years of experience programming with Python, Go, Scala, or Java  •  At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks...
Capital One-Plano
or Java  •  At least 1 year of experience with HPCs, vector embedding, or semantic search technologies  •  At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications...
Capital One-Plano
and building and deploying ML application platforms.  •  At least 4 years of experience programming with Python, Go, Scala, or Java  •  At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks...
Capital One-Plano
scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications:  •  Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions...
Capital One-Plano
preferred.  •  Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities  •  Familiarity with deploying large neural network models in demanding production environments.  •  Have...
Capital One-Plano
/knowledge bases, LLM hosting and fine-tuning.  •  Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring...
Capital One-Plano
building, scaling, and optimizing training or inferencing systems for deep neural networks Preferred Qualifications:  •  Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving...
Capital One-Plano
vector databases/knowledge bases, LLM hosting and fine-tuning.  •  Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One...
Capital One-Plano
and fine-tuning.  •  Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. Capital One will consider sponsoring a new qualified applicant...
Capital One-Plano
with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment...
Capital One-Plano
with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment...
Capital One-Plano
with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment...
Capital One-Plano
ICML or ICLR Behavioral 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...
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