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.
The SandboxAQ R&D team is looking for a ML Research Engineer to help us bring more AI to the domain of cybersecurity. This includes applying AI in the domain of traditional cybersecurity (“AI for security”), as well as securing AI-first developer workflows (“Security for AI”).
A successful candidate will be comfortable building models from scratch, finetuning 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. Candidates should be familiar with the AI development process and be able to identify potential pitfalls and (security) issues.
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.
What You'll Do- Conduct research in the cross-section of AI and cybersecurity and translate this research into projects and features
- 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
- Msc or 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 track record in the field of ML, ideally through a mix of research and production projects
- Experience with agentic frameworks such as OpenAI agents, Google ADK, or MCP
- Experience contributing to open source projects
- Experience in another object-oriented language, i.e. Java, C++, Kotlin, Rust, JS, …
- Experience with the evaluation of models
- Experience in the cybersecurity domain is a plus, but not essential
- Experience with static analysis
