Gradient Learning Jobs (NOW HIRING)

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

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 ...

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 ...

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 ...

Performs research and testing to develop deep learning algorithms and predictive models ... Develops algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary

Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector ...

... g., gradient descent, nonlinear optimization, or classical machine learning). • A strong mathematical background covering linear algebra, statistics, probability, and numerical methods. • ...

... g., gradient descent, nonlinear optimization, or classical machine learning). • A strong mathematical background covering linear algebra, statistics, probability, and numerical methods. • ...

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. • ...

... gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so we apply the ... learning package * A proven ability to create and maintain an organized research codebase that ...

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

... gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so we apply the ... learning package * A proven ability to create and maintain an organized research codebase that ...

... 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. • ...

... 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 ...

Ability to select and apply the appropriate ML approach for a given problem - including supervised learning (e.g., logistic regression, random forest, gradient boosting), unsupervised learning (e.g ...

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 ...