Physics PhD - AI Trainer

We are seeking a highly skilled Physicist to join our team. In this role, you will leverage your deep expertise in physics, advanced mathematics, and analytical reasoning to train, fine-tune, and rigorously evaluate AI models. Your background in scientific methodology and critical thinking will be essential in ensuring our AI systems achieve the highest standards of performance, accuracy, and reliability.

- Design sophisticated evaluation frameworks that challenge AI systems in simulations of complex physical environments, focusing on adaptive learning, physical realism, and system response to real-world variables.

- Research, define, and validate optimal AI behaviors in physical modeling by analyzing experimental data, computational simulations, peer-reviewed research, and domain-specific case studies.

- Conduct in-depth, iterative testing of AI components such as physics-based simulations, predictive modeling engines, and adaptive systems, identifying inaccuracies, points of failure, and opportunities for enhanced fidelity.

- Develop robust scoring rubrics and evaluation matrices to consistently assess AI performance across scientific accuracy, predictive reliability, adaptability, and alignment with established physical principles.

- Document and report findings through comprehensive feedback cycles, providing actionable insights to refine AI models and guide future development in physics-driven AI systems.

- Ph.D. in Physics or a closely related field (e.g., Applied Physics, Astrophysics, Mathematical Physics, Engineering Physics).

- Solid foundation in scientific research methods, statistical analysis, and data interpretation.

- Strong critical thinking and problem-solving skills, particularly with complex, multi-variable systems.

- Experience with programming languages such as Python, MATLAB, or Julia, particularly for data analysis or modeling.

- Familiarity with machine learning concepts (e.g., supervised learning, unsupervised learning, reinforcement learning) is highly preferred.

- Excellent communication skills, with the ability to explain complex concepts to non-expert audiences.

- Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).

- Experience working with large datasets and knowledge of data preprocessing techniques.

- Background in computational physics or numerical simulation.

- Prior experience in interdisciplinary research teams involving AI applications.

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

- Customer First Mentality - every decision we make should be made through the lens of the customer.

- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.

- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. 

- Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.

- Frugality - being frugal and cost-conscious helps us do more with less

- Deliver Impact - get things done in the most efficient way. 

- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.