Seattle, WA · On-site
$148K - $300K/yr
... 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 ...
Seattle, WA · On-site
$148K - $300K/yr
... 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 ...
Emeryville, CA · On-site
$150K - $300K/yr
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 ...
Emeryville, CA · On-site
$150K - $300K/yr
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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
Responsibilities : • Reinforcement learning methods for LLM-driven agents and decision systems ... policy gradient methods. • Strong programming skills in Python with PyTorch or JAX. • ...
Santa Clara, CA · On-site
$122K - $168K/yr
Responsibilities : • Reinforcement learning methods for LLM-driven agents and decision systems ... policy gradient methods. • Strong programming skills in Python with PyTorch or JAX. • ...
... gradient sharding and optimization strategies for scaling large models across ML accelerator ... Preferred : • 5+ years in machine learning infrastructure such as developing, designing, scaling ...
... gradient sharding and optimization strategies for scaling large models across ML accelerator ... Preferred : • 5+ years in machine learning infrastructure such as developing, designing, scaling ...
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 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 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 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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
... 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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
... 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 ...
San Diego, CA · On-site
$115K - $156K/yr
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 ...
San Diego, CA · On-site
$115K - $156K/yr
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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
... 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 ...
Santa Clara, CA · On-site
$122K - $168K/yr
... 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 ...
San Diego, CA · On-site
$110K - $152K/yr
... learning technology deployed in industry-leading devices. Responsibilities : • Algorithms ... non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed ...
San Diego, CA · On-site
$110K - $152K/yr
... learning technology deployed in industry-leading devices. Responsibilities : • Algorithms ... non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed ...
Shoreview, MN · On-site
$85K - $120K/yr
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 ...
Shoreview, MN · On-site
$85K - $120K/yr
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 ...
... Gradient Boosting, or similar approaches • Strong understanding of data preprocessing techniques including normalization, denoising, feature engineering, and missing data handling • Experience ...
Quick apply
... 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 ...
Strong technical intuition for deep learning training dynamics-specifically regarding stability, gradient behavior, and learning rate schedules. * Programming Rigor: Ability to write clean, well ...
Santa Clara, CA · On-site
$122K - $168K/yr
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.
Santa Clara, CA · On-site
$122K - $168K/yr
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.
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.
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 ...
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 ...
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 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 ...
Participate in ongoing learning and training opportunities. Gradient is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive atmosphere for all employees.
Participate in ongoing learning and training opportunities. Gradient is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive atmosphere for all employees.
Engage in continuous learning and training. Gradient is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive atmosphere for all employees.
Engage in continuous learning and training. Gradient is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive atmosphere for all employees.
New York, NY · Remote
$100K - $120K/yr
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)
Quick apply
New York, NY · Remote
$100K - $120K/yr
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)
$148K - $300K/yr
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 29 days ago
8.2
Based on 12 frontline employees who took The Breakroom Quiz
94th of 217 rated software companies
Sourced by ZipRecruiter
Arts, entertainment, and recreation
1,001 - 5,000 Employees
Santa Monica, CA, US
2016
