Machine Learning Research Scientist, Postdoctoral Fellow

About SandboxAQ

Sandbox

AQ 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 Sandbox

AQ, 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 Sandbox

AQ R&D team is looking for a Post Doc resident to help us bring more AI to the domain of cybersecurity. We are interested in candidates with a strong theoretical background and 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 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.

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 Sandbox

AQ.

We move fast, build with purpose, and are obsessed with making an impact. Our culture is built for those who want to be at the forefront of innovation, and it's guided by these core principles:

• We are passionate about solving real‑world problems for our customers.
• We take deep ownership of our work and hold ourselves to the highest standards of excellence.
• We are a team that stands by our commitments to each other and our customers, building trust through reliability.
• We believe in amplifying our collective impact through collaboration.
• We are dedicated to seeing our projects through to the finish line, ensuring that every detail is accounted for and that our work has a lasting impact.

• 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

• 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, Lang Chain, Tensorflow or Py Torch
• Successful research track record in the field of ML

• 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

The US base salary range for this full‑time position is expected to be $115k - $135k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job‑related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.

Equal Employment Opportunity
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All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations
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We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

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