Machine Learning Research Scientist, Postdoctoral Fellow - Remote

Overview

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

In Short

• The SandboxAQ R&D team is looking for a PostDoc resident to help us bring more AI to the domain of cybersecurity.
• We are interested in candidates with a strong theoretical background and interest in frontier research.
• A successful candidate will be comfortable building models from scratch and fine-tuning existing ones.
• They will design software systems around those models in collaboration with our engineering department.
• Part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists.
• 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.
• PhD in Machine Learning, Data Science, Computer Science or related field is required.

Requirements

• Strong experience in Python and ML frameworks such as Huggingface Transformers, LangChain, Tensorflow or PyTorch.
• Successful research track record in the field of ML.
• Experience with agentic frameworks such as OpenAI agents, Google ADK, or MCP is nice to have.
• Experience contributing to open source projects is a plus.
• Experience in the cybersecurity domain is a plus, but not essential.

Benefits

• Competitive salaries and stock options depending on employment type.
• Generous learning opportunities.
• Medical/dental/vision benefits.
• Family planning/fertility support.
• PTO including summer and winter breaks.
• Financial wellness resources and 401(k) plans.