AI Research Scientist, Postdoctoral Fellow

SandboxAQ

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 SandboxAQ AI Generation Engine team is looking for a PostDoc Resident for a 12-month, full-time research opportunity. In this role, you will help us build foundational models for life sciences and financial simulations. 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 including (but not limited to): Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. They will also be able to design and develop software systems around those models in close collaboration with other team members. They will be part of a diverse team consisting of software engineers, ML experts, products managers and user experience researchers, where they will play a key role in efficient and effective enablement of the 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, Physics or related field with a strong focus on Machine Learning and Life Sciences or Finance
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 Haves

Experience building foundational models
Experience contributing to open source projects
Experience with cloud computing platforms (e.g., GCP, AWS)
Experience in the life sciences and/or finance is a plus, but not essential

Responsibilities

Perform exploratory data analysis and feature engineering on vast quantities of data
Train ML models 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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume