Machine Learning Research Scientist, Postdoctoral Fellow
Machine Learning Research Scientist, Postdoctoral Fellow
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$ 115 - 135
1 Vacancy
Job Description
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the worlds greatest challenges. The companys 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 weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds 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.
How We Succeed Together
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 its 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 are proactive and action-oriented always seeking opportunities to make a difference and drive our mission forward.
- 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.
What Youll 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.
Employment Type
Grant
