Deep Reinforcement Learning Jobs in Texas (NOW HIRING)

Position : Senior Machine Learning Engineer - Deep & Reinforcement Learning Location : Houston, TX Onsite Duration : Long term contract Required skills: - Degree in STEM field, Ph.D preferred ...

The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale.

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...

Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...

Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...

Your role on our team Pioneer the application of reinforcement learning (RL) and sequential ... Deep understanding of RL fundamentals, including MDPs, dynamic programming, temporal-difference ...

... of modern deep learning; exposure to reinforcement learning is a strong plus. • Proficiency in Python and comfort reading and debugging an existing codebase. • Curiosity about physical ...

You'll design and execute experimentation frameworks, champion GenAI tooling adoption to accelerate development, and apply advanced techniques, including deep learning and reinforcement learning.

You'll design and execute experimentation frameworks, champion GenAI tooling adoption to accelerate development, and apply advanced techniques, including deep learning and reinforcement learning.

Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus. * Proficiency in Python and comfort reading and ...

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies ... Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton ...

They are seeking a Senior Software Engineer to work on optimizing CUDA and Deep Learning Systems ... for Reinforcement Learning (RL) or highly parallel simulation environments and/or research ...

Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). • Background in deep learning compilers, both graph-level and codegen (e.g., Triton, XLA ...

Deep hands-on expertise in reinforcement learning for foundation models, and fluency with post-training methods (RLHF, RLAIF, DPO, PPO, or adjacent approaches) * Proven experience leading or ...

If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce ... Familiarity with systems requirements for Reinforcement Learning (RL) or highly parallel simulation ...

This role combines deep expertise in both computer vision and large language models with hands-on experience in reinforcement learning to create intelligent systems that can understand, reason about ...

Key Responsibilities: • Develop and Apply AI Technologies • Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal ...

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies ... Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton ...

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Applying research and conducting your own research to build SOTA Deep learning discriminative ...