AI 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.
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, 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.
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
SandboxAQ Welcomes All
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
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.
Read: Guidance for candidates on using AI Tools in interviews
Apply Now
Apply Now
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, 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.
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
SandboxAQ Welcomes All
We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.
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.
Read: Guidance for candidates on using AI Tools in interviews
Apply Now
Apply Now