Gradient Learning Jobs (NOW HIRING)

... 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-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 ...

Machine Learning Researcher Location: San Francisco Bay Area Compensation: $189,000 - 260,000 USD ... Investors include Gradient Ventures, Google's AI-focused venture fund * We are experiencing ...

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

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 ...

... 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 ...

... 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 ...

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

... loading, gradient computation, and communication. Implement optimizations like kernel fusion ... Experience optimizing machine learning model execution during training and inference, alongside a ...

... gradient sharding and optimization strategies for scaling large models across ML accelerator ... Preferred : • 5+ years in machine learning infrastructure such as developing, designing, scaling ...

Solid grasp of core RL training objectives and loss functions, including temporal-difference and Bellman error losses (Q-learning, DQN), policy gradient objectives (REINFORCE, actor-critic advantage ...

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 ...

The Fraud & Machine Learning team is the secret sauce behind Extend's post-purchase protection ... Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting ...

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 ...

Experience with modern ML approaches, including representation learning, deep learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees * Proven ability to ...

... 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 ...

... 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 ...

Solid grasp of core RL training objectives and loss functions, including temporal-difference and Bellman error losses (Q-learning, DQN), policy gradient objectives (REINFORCE, actor-critic advantage ...

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 ...

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... Leverage the bestof moderndeep learning&large language modelswithtraditional data science ...