Machine Learning Research Scientist, Postdoctoral Fellow
About SandboxAQ
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.
About the Role
The SandboxAQ R&D team is looking for a PostDoc 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 SandboxAQ.
What You'll Do
- 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
About You
- 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
- 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.
SandboxAQ welcomes all.
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. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: 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: 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.Originally posted on Himalayas
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