Noumenal Labs is a deep tech company focusing on multiscale, multimodal time series modeling, object-centered causal physics discovery, continual learning, and energy-based architectures.

We are seeking a skilled Machine Learning Engineer specializing in building and optimizing sophisticated simulations. In this role, you will leverage advanced simulation tools like NVIDIA Isaac Sim, Omniverse, OpenAI Gym, MuJoCo, or similar platforms, to develop and test reinforcement learning and active inference algorithms and physics-informed models within dynamic virtual environments.

• Design, develop, and maintain high-quality simulation environments to facilitate training, testing, and validation of machine learning models.

• Develop novel simulation frameworks based on proprietary physics simulation models.

• Implement and optimize realistic physical interactions and virtual agents within simulation platforms (Isaac Sim, Omniverse, MuJoCo, OpenAI Gym, etc.).

• Apply reinforcement learning and curiosity-driven methods within simulated environments to create adaptive and robust AI systems.

• Continuously explore and evaluate new simulation technologies, libraries, and frameworks to enhance team capabilities and effectiveness.

• Document processes, code, and results clearly and effectively to support collaborative development and knowledge transfer.

• Master's degree in Computer Science, Robotics, AI, Physics, or a related technical discipline.

• Proven experience (2+ years) developing simulations for machine learning applications, especially using platforms like Isaac Sim, NVIDIA Omniverse, OpenAI Gym, MuJoCo, PyBullet, or Gazebo.

• Strong programming skills in Python, along with familiarity in C++ or similar languages.

• Solid understanding of machine learning principles, Bayesian reinforcement learning techniques, active inference, physics-based modeling, probabilistic modeling, and curiosity-driven exploration.

• Experience in 3D graphics, virtual environments, or robotics simulation.

• A track record of publications in venues such as IEEE, ICML and NeurIPS.

• Excellent problem-solving capabilities, analytical thinking, and attention to detail.

• Strong communication and collaboration skills, capable of working effectively in cross-functional teams.

• Doctoral degree in Computer Science, Robotics, AI, Physics, or a related technical discipline.

• Experience with GPU computing frameworks (CUDA), deep learning libraries (PyTorch, TensorFlow, JAX), or cloud-based simulation and training environments.

• Familiarity with robotic control systems, adaptive algorithms, or real-time simulation.

• Familiarity with probabilistic programming languages.

• Familiarity with energy-based models.

• Contributions to open-source simulation projects or experience with virtual reality systems.

Compensation package includes salary $125K-$200K USD + equity in Noumenal Labs.

Please follow this link to apply.