Senior Machine Learning Engineer (fractional talent)

About the job

Build the Path Forward

The client, are attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.

Manufacturing demands exceptionally high performance. We're developing intelligent robots to address the long-tail challenges in this industry. This has been a longstanding challenge that traditional robots have been unable to overcome. We are seeking a Senior Machine Learning Engineer with expertise in video generation, neural simulators, large-scale model training, and foundational model development, with a strong understanding of robotics and software engineering for a client based in Columbus, Ohio. Your expertise will help bring AI-driven robotic capabilities to life, enabling intelligent and adaptive machines.

This role can be located in our Columbus, Ohio Headquarters or Remote.

What You’ll Do

• Give our robots a world model where they can learn and imagine.
• Develop a multimodal neural simulator for manufacturing tasks.
• Full stack AI engineering including but not limited to data pipelines, model training, and model deployment.
• Design, train, and optimize large-scale models from scratch for robotic perception and control.
• Stay up to date with advancement generative AI to improve the fleet performance.

Who You Are

• Built and deployed modern AI robotics systems in an industry setting.
• You have projects related to neural simulators and world models.
• Experience with training video generation models.
• Experience with training large models and relevant tooling and infrastructure.
• 5+ years of experience in machine learning, deep learning, and robotics applications.
• Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow).
• Contributed to open-source projects or publications in top-tier robotics/ML conferences.