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Role Description

The SandboxAQ R&D team is looking for a PostDoc Resident for a 12-month, full-time research opportunity. This role is central to our efforts to bring more AI to the domain of cybersecurity.

• Perform exploratory data analysis and feature engineering on vast quantities of data.
• Train models and build agents using the latest machine learning frameworks.
• Integrate research outcomes into the product portfolio by working closely with the engineering team.
• Present your work to broad audiences ranging from academic circles to industry stakeholders.
• Enable cutting-edge technologies effectively as a key contributor to our multidisciplinary R&D environment.

Qualifications

• PhD in Machine Learning, Data Science, Computer Science, or a related field with a strong focus on Machine Learning.
• Strong experience in Python and ML frameworks such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch.
• Successful research track record in the field of Machine Learning.
• Hands-on model development skills, including building models from scratch and running inference efficiently (generative and quantitative).

Requirements

• Experience with OpenAI agents, Google ADK, or MCP.
• Experience contributing to open-source projects.
• Experience in the cybersecurity domain is a plus, but not essential.

Benefits

• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions.
• Retirement savings with company matching.
• Paid parental leave and inclusive family-building benefits.
• Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
• Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.