AI Research Scientist, Postdoctoral Fellow
SandboxAQ
Job Overview
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Job Description
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.
The Opportunity
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, product 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.
Key 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
Essential Skills & Experience
- 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
Highly Desired Skills & Experience
- 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
Key skills/competency
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Analysis
- Foundational Models
- Python Programming
- ML Frameworks
- Life Sciences
- Financial Simulations
- Research & Development
How to Get Hired at SandboxAQ
- Research SandboxAQ's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their focus on AI, collaboration, and impact.
- Tailor your AI Research Scientist, Postdoctoral Fellow resume: Customize your CV to highlight your PhD, machine learning research track record, Python proficiency, and experience with ML frameworks like PyTorch or TensorFlow, aligning with SandboxAQ's needs.
- Showcase foundational model experience: Emphasize any work with large quantitative models, data acquisition, pre-training, or fine-tuning, demonstrating your readiness for SandboxAQ's advanced AI projects.
- Prepare for technical discussions: Be ready to discuss your research, ML model development, and problem-solving approaches, showcasing your deep understanding of AI and its applications in life sciences or finance.
- Demonstrate collaborative spirit: Highlight experiences working in interdisciplinary teams and integrating research into product development, reflecting SandboxAQ's team-oriented environment.
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