Gradient Learning Jobs in California (NOW HIRING)

... learning technology deployed in industry-leading devices. Responsibilities : • Algorithms ... non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed ...

... Gradient Boosting, or similar approaches • Strong understanding of data preprocessing techniques including normalization, denoising, feature engineering, and missing data handling • Experience ...

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 ...

You will help build the learning systems that power these agents . Key Responsibilities ... Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.

You will help build the learning systems that power these agents . Key Responsibilities ... Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.

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 ...

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 ...

Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e ...

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 Boosting, (e) XGBoost, (f) SVMs, (g) VAR, (h) NNAR, and (i) Logistic Regression, and the ability to select the optimal approach for a given problem; (3) programming with Python or Go; (4) ...

... Gradient Boosting, (e) XGBoost, (f) SVMs, (g) VAR, (h) NNAR, and (i) Logistic Regression, and the ability to select the optimal approach for a given problem; (3) programming with Python or Go; (4) ...

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 ...

Develop optimization and machine learning solutions for various components of the ad serving system ... Proficiency in a wide range of algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... loading, gradient computation, and communication. Implement optimizations like kernel fusion ...

Develop optimization and machine learning solutions for various components of the ad serving system ... Proficiency in a wide range of algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs ...

Develop optimization and machine learning solutions for various components of the ad serving system ... Proficiency in a wide range of algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs ...

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 ...

Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)

Integrate Explainable AI (XAI) methods (e.g., SHAP, LIME, attention visualization, or gradient ... Expand machine learning models portfolio for engineering and simulation-driven applications.

... 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 ...