Machine Learning Research Scientist, Postdoctoral Fellow

Summary

Join SandboxAQ's R&D team as a PostDoc resident and contribute to advancing AI in cybersecurity. You will perform exploratory data analysis, train models using cutting-edge ML frameworks, and integrate research outcomes into SandboxAQ's product portfolio. The role involves collaboration with engineers and presentations to diverse audiences. A strong theoretical background in machine learning and practical implementation skills are essential. The position offers a competitive salary, benefits, and opportunities for professional growth within a dynamic and innovative environment. SandboxAQ is committed to fostering an inclusive and supportive workplace.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

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