Machine Learning Research Scientist, SandboxAQ

• We are interested in candidates with a strong theoretical background and interest in frontier research, who can apply those foundations and implement them in practice
• A successful candidate will be comfortable building models from scratch, fine tuning existing ones, and running inference efficiently (both generative and quantitative). They will be able to design software systems around those models in close collaboration with our engineering department
• PhD in Machine Learning, Data Science, Computer Science or related field with a strong focus on Machine Learning
• Strong experience in Python, and ML frameworks such as Huggingface Transformers, LangChain, Tensorflow or PyTorch
• Successful research track record in the field of ML

Desirable

• The SandboxAQ R&D team is looking for a PostDoc resident to help us bring more AI to the domain of cybersecurity
• They will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ
• Perform exploratory data analysis and feature engineering on vast quantities of data
• Train models and build agents using the latest ML frameworks
• Work with the engineering team to integrate research outcomes into the product portfolio
• Present the work to broad audiences from academic to industry