Gradient Learning Jobs in California (NOW HIRING)

SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced ...

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced ...

Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...

Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...

Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) * Knowledge of computer vision and ...

SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering ... Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest • ...

Responsibilities : • designing Agentic workflows • gradient based and gradient free optimization algorithms • researching and developing Machine Learning approaches to problems in the EDA and ...

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. * Should have excellent understanding of ML lifecycle * Good understanding of system architecture. Have knowledge of big ...

Responsibilities : • Reinforcement learning methods for LLM-driven agents and decision systems ... policy gradient methods. • Strong programming skills in Python with PyTorch or JAX. • ...

Responsibilities : • Reinforcement learning methods for LLM-driven agents and decision systems ... policy gradient methods. • Strong programming skills in Python with PyTorch or JAX. • ...

... Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. - Experience in Deep Learning Tools such as tensorflow/pytorch. - Experience with at least one programming language like C++/Python ...

Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the ...

Responsibilities : • Reinforcement learning methods for LLM-driven agents and decision systems ... policy gradient methods. • Strong programming skills in Python with PyTorch or JAX. • ...

The DUE Machine Learning team will build and operate scalable machine learning and data systems ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...

... Gradient methods. • Mastery of PyTorch and expertise in distributed training (DeepSpeed, Megatron, etc.). • A 'Product-First' mindset: The ability to balance cutting-edge research with the ...

Design and implement gradient-based and gradient-free optimization algorithms for complex EDA and system design challenges. * Research, prototype, and develop machine learning and deep learning ...

Design and implement gradient-based and gradient-free optimization algorithms for complex EDA and system design challenges. * Research, prototype, and develop machine learning and deep learning ...

... mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA ... Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning ...

We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of ... Strong expertise in distributed training techniques, including gradient sharding and optimization ...