Machine Learning Research Scientist
Top Benefits
About the role
Who you are
- 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
- 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
- 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
What the job involves
- The SandboxAQ R&D team is looking for a PostDoc resident to help us bring more AI to the domain of cybersecurity
- 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
- 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
Benefits
- Stock options
- Unlimated vacation (PTO) and flexible work culture
- Company-wide winter and summer breaks to unwind
- Best-in-class health plans: Medical, dental and orthodontics, and vision
- Family planning and fertility benefits
- Military leave
- 100% paid parental leave
- 401k with company matching
- Education stipends
- Financial wellness resources
About SandboxAQ
In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts.
At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.
Machine Learning Research Scientist
Top Benefits
About the role
Who you are
- 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
- 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
- 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
What the job involves
- The SandboxAQ R&D team is looking for a PostDoc resident to help us bring more AI to the domain of cybersecurity
- 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
- 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
Benefits
- Stock options
- Unlimated vacation (PTO) and flexible work culture
- Company-wide winter and summer breaks to unwind
- Best-in-class health plans: Medical, dental and orthodontics, and vision
- Family planning and fertility benefits
- Military leave
- 100% paid parental leave
- 401k with company matching
- Education stipends
- Financial wellness resources
About SandboxAQ
In the tech and data intelligence worlds, a sandbox is where innovation is born. It’s a place where the brightest free-thinking minds from across disciplines come together to reimagine what’s possible. A collaborative environment where the whole is infinitely greater than the sum of the parts.
At SandboxAQ, this forward-looking vision is core to everything we do. It’s how we became who we are and it’s how we know our solutions can shift the way your business competes in tomorrow’s marketplace. As the world enters the third quantum revolution, AI + Quantum software will address significant business and scientific challenges. SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, cyber and other sectors. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors including T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, and others.