Machine Learning Research Scientist, Postdoctoral Fellow

SandboxAQ

12d

About The Position

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 Opportunity 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. We are seeking candidates with a strong theoretical background and an interest in frontier research who can apply those foundations and implement them in practice. A successful candidate will be comfortable building models from scratch, fine-tuning existing ones, and designing software systems around those models in close collaboration with our engineering department. You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists. This multidisciplinary group plays a key role in the efficient and effective enablement of cutting-edge technologies being developed at SandboxAQ. Note: This is a 12-month, full-time fellowship focused on frontier research in a production setting. To see how our fellows contribute to the ecosystem, please learn more about our residency program here.

Requirements

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).

Nice To Haves

Agentic Frameworks: Experience with OpenAI agents, Google ADK, or MCP.
Open Source: Experience contributing to open-source projects.
Domain Knowledge: Experience in the cybersecurity domain is a plus, but not essential.

Responsibilities

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.

Benefits

Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
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.

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