Ai Research Engineer • Mid-Level

Who you are

You have a strong background in machine learning research and a passion for developing innovative techniques that enhance model alignment and performance. Your experience includes working with multimodal models and understanding the intricacies of preference optimization and model evaluation. You thrive in collaborative environments and enjoy contributing to cutting-edge projects that push the boundaries of AI technology.

You are familiar with the challenges of processing large-scale data streams and have a keen interest in developing systems that can adapt to human intent. Your ability to work effectively within a team and communicate complex ideas clearly makes you a valuable asset in any research setting. You are committed to maintaining high standards of quality and design in your work, ensuring that the solutions you develop are both effective and user-friendly.

What you'll do

As a Researcher on the Post-Training team, you will design and implement new techniques for preference optimization and model evaluation. Your role will involve collaborating with other researchers and engineers to develop systems that enhance the adaptability and alignment of multimodal models. You will be responsible for conducting experiments, analyzing results, and iterating on your designs to improve model performance.

You will also engage in feedback-driven processes, ensuring that the models you work on are grounded in human intent and capable of continuous learning. Your contributions will directly impact the development of next-generation AI systems, making them more interactive and intelligent. You will have the opportunity to work alongside experts in the field and contribute to a culture of innovation and excellence.

What we offer

At Cartesia, we foster an inclusive and supportive work environment where collaboration and learning are at the forefront. You will have the chance to work on novel and cutting-edge projects that challenge the status quo in AI technology. We prioritize execution speed without compromising quality, and we encourage our team members to share their ideas and insights freely. Our office culture is built around teamwork and mutual support, ensuring that everyone has the resources they need to succeed in their roles.