Gradient Learning Jobs (NOW HIRING)

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 ...

Artificial Intelligence/Machine Learning Engineer Specialist Austin, Texas (Hybrid OR Fully Remote ... MLflow experiment tracking and gradient-boosting ensemble tuning ensuring validation models retain ...

... 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 ...

Partner with cross-functional leaders to ensure all Gradient employees understand the Case Central ... Experience in training, coaching, and facilitating learning * Excellent research, analytical, and ...

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

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 ...

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

Strong technical intuition for deep learning training dynamics-specifically regarding stability, gradient behavior, and learning rate schedules. * Programming Rigor: Ability to write clean, well ...

Hands-on experience with implementing policy gradient methods (PPO, A3C), value-based approaches (DQN, Q-learning) and off-policy algorithms. Deep familiarity with the Bellman equation, reward ...

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 ...

Engage with ongoing learning and training Gradient is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive atmosphere for all employees.

Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)

Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)

State/action spaces, Q-learning, DQN, Double DQN, Dueling DQN • Policy gradient methods: REINFORCE, Actor-Critic, A2C/A3C, variance reduction • Advanced optimization: PPO, TRPO, SAC, trust ...

... Gradient experience, onboarding structure, and capability development framework based on evolving business and delivery needs. * Contribute to broader learning operations and capability-building ...