Reinforcement Learning Jobs in Austin, TX (NOW HIRING)

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus

... Reinforcement Learning in real applications a plus Experience with Spark, TensorFlow, Keras, and PyTorch a plus Skilled in communication, problem solving, strategic thinking

Stay current with the latest research in machine learning, imitation learning, and reinforcement learning, and apply novel techniques to our systems What you'll need * Strong proficiency in Python ...

Experience with Deep neural networks and reinforcement learning is a plus Solid math background and understanding of algorithms and data structures Experience with current deep learning frameworks ...

Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or classical control, they will ensure our robots can perform complex, high-DOF tasks in both simulation and ...

Requirements: · Degree in Computer Science, Engineering, Statistics, or a related technical field. · Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement ...

Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model Optimisation (quantisation, distributed training, GPU ...

Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model Optimisation (quantisation, distributed training, GPU ...

... reinforcement learning, and/or other AI domains. • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. • Practical ...

Reinforcement Learning (Contextual Bandits, Policy Optimization) * Price & Revenue Optimisation * Representation Learning & Embeddings * Model Optimisation (quantisation, distributed training, GPU ...

Experience with Deep neural networks and reinforcement learning is a plus * Solid math background and understanding of algorithms and data structures * Experience with current deep learning ...

Experience with reinforcement learning, fine-tuning, or preference-based optimization (e.g., RLHF). * Familiarity with model compression, distillation, or inference optimization. * Experience ...

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

Experience with Ray for distributed compute and managing Reinforcement Learning (RL) workloads. Hands-on experience with profiling tools such as NVIDIA Nsight, PyTorch Profiler, or Intel Gaudi ...

Machine learning and reinforcement learning * Optimization and control systems * Streaming analytics and event-driven intelligence * Distributed and edge-native AI inference * Ensure low-latency AI ...

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus Minimum ...

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. Experience with Spark, TensorFlow, Keras, and PyTorch a plus Minimum ...

The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data ...

Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or classical control, they will ensure our robots can perform complex, high-DOF tasks in both simulation and ...

Machine learning and reinforcement learning * Optimization and control systems * Streaming analytics and event-driven intelligence * Distributed and edge-native AI inference * Ensure low-latency AI ...