Reinforcement Learning Jobs in Texas (NOW HIRING)

In this role, you'll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data ...

In this role, you'll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data ...

Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...

Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...

Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...

Knowledge in search/ranking, Reinforcement Learning or Meta Learning * Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale ...

Architect and implement reinforcement learning systems for sequential decision-making, including policy learning and skill acquisition * Build and optimize computer vision pipelines for perception ...

Strong understanding of the state of the art research in robot learning (behavior cloning and reinforcement learning for manipulation, world models, etc.). * Understanding of the challenges of ...

JOB SUMMARY As a Software Engineer- Human Motion Data, you will leverage your background in robotics to build the crucial link between human-data and our reinforcement learning pipelines. This role ...

Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI. * Familiarity with GraphRAG and LLM-as-a-judge architectures. * Predictive Analytics: * Expertise in ...

We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development. We are seeking a software ...

We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development. We are seeking a software ...

Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data ...

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 ...

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 ...

You will implement, tune, and deploy reinforcement learning and related learning-based control for high-DOF, multi-fingered robotic hands-translating state-of-the-art research (reinforcement ...

Strong understanding of Artificial Intelligence, Machine Learning , and model development. * Experience with robotics simulation, reinforcement learning, computer vision , or autonomous systems is ...

In this role, you'll be at the center of that effort-combining power architecture expertise with machine learning, reinforcement learning, data analytics, and large language models (LLMs) to invent ...

CARLA, Isaac Sim, Unreal Engine • Familiarity with reinforcement learning concepts and workflows • Experience with agent-based simulation or closed-loop simulation systems • Experience building ...

The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be ...