SandboxAQ is looking for a PostDoc resident to help bring more AI to the domain of cybersecurity by applying and implementing strong theoretical foundations in practice.
Requirements
- Strong experience in Python, and ML frameworks such as Huggingface Transformers, LangChain, Tensorflow or PyTorch
- Experience with agentic frameworks such as OpenAI agents, Google ADK, or MCP
- Experience contributing to open source projects
- Experience in the cybersecurity domain is a plus, but not essential
Responsibilities
- 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
- building models from scratch
- fine tuning existing ones
- running inference efficiently (both generative and quantitative)
Other
- PhD in Machine Learning, Data Science, Computer Science or related field with a strong focus on Machine Learning
- Successful research track record in the field of ML
- comfortable building models from scratch, fine tuning existing ones, and running inference efficiently (both generative and quantitative)
- able to design software systems around those models in close collaboration with our engineering department
- play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ
