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Posted 165 days ago

Machine Learning Research Scientist, Postdoctoral Fellow

🏢 SandboxAQ

USD 115K - 135K per year

+3 benefits
AI Summarised
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Role Type

🧪 Scientist / Researcher

Role Focus

📈 Apply Quantum

Seniority

🌸 PhD / Postdoc

Employer Type

🏢 Industry

SandboxAQ is seeking a Postdoctoral Fellow in Machine Learning Research to advance AI solutions in cybersecurity. This role involves both theoretical research and practical implementation, including building and fine-tuning AI models and designing software systems. The scientist will collaborate with a diverse team of experts to develop cutting-edge technologies.

Key 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.

Required Skills

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

Nice-to-have Skills

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

Technology Tags

ML approaches

The job title is "Machine Learning Research Scientist" and the core task is to "bring more AI" to a domain.

Classical programming

Explicitly required with "strong experience in Python" to "implement them in practice" and "design software systems".

Data security

The primary application domain for this role is "bringing more AI to the domain of cybersecurity".

Optimisation

A core component of training and fine-tuning ML models for efficient inference.

Linear algebra

Fundamental to Machine Learning models, which the candidate will be building and fine-tuning.

Statistics & probability

Essential for "exploratory data analysis" and "running inference efficiently" in Machine Learning.

Post-quantum

SandboxAQ is known for post-quantum solutions, and the job involves "AI to the domain of cybersecurity" with cryptographers on the team.