Research Software Engineering Resident

Extropic is seeking a Software Engineer with an R&D focus to join their residency program. The company specializes in hardware acceleration for probabilistic inference, and the role involves pioneering software development for thermodynamic models and their training. The position offers a unique opportunity to work at the intersection of machine learning, thermodynamic hardware, and software engineering.

The role requires strong expertise in JAX and scientific Python, with a focus on implementing and testing algorithms for thermodynamic hardware simulation. You'll be working closely with senior researchers and engineers, contributing to the development and improvement of the software stack. The position demands a solid foundation in probability, linear algebra, and experience with ML infrastructure.

Ideal candidates will have experience with numerical methods, computational Bayesian methods, and potentially publications in ML or computational science venues. However, the company encourages applications from candidates with partial overlap of these skills. The position offers a competitive salary range of $75,000 - $150,000, depending on experience.

Working in a hybrid setting in San Francisco, you'll be part of a team pushing the boundaries of probabilistic inference through innovative hardware solutions. This is an excellent opportunity for someone interested in the intersection of software engineering and machine learning research, with the chance to contribute to cutting-edge technology development.