Research Engineer at FAR.AI

This role is ideal for mid-level software engineers or machine learning practitioners who want to pivot into AI safety and alignment. It is unique in that it welcomes both "pure" software engineers and academics who are eager to apply their skills to high-impact research. Whether you are an expert in distributed systems or a Pytorch enthusiast, this position bridges the gap between production-grade engineering and cutting-edge scientific discovery. The compensation is competitive ($100k–$190k) for a non-profit, and the work environment is exceptionally flexible. You can work fully remote from almost anywhere or join the Berkeley hub. Standout perks include the opportunity to co-author papers for top conferences like NeurIPS and ICLR, access to significant GPU compute for experiments, and a "pod" structure that allows you to move between research areas like mechanistic interpretability and red-teaming. **You might be a good fit if you...** * Have a strong command of Python and a background in either ML frameworks or low-level systems. * Are motivated by long-term AI safety and want to see your code directly impact global AI policy. * Enjoy a mix of building scalable infrastructure and running scientific experiments. * Want to transition from traditional software engineering into the AI research field.