internship program.

Intern with Zapata AI.

Our scientists and engineers are accelerating the Industrial Generative AI revolution, pioneering new techniques to tackle the most complex problems in industry.

Our mindset

We are creative, curious, and revolutionary.

We are committed to creating an environment that accelerates our teammates’ growth and positive impact in the world. We are fast-paced, highly collaborative, and cross-disciplinary. Our world-class team of resourceful problem solvers is pioneering commercial algorithms, research, and product development.

 

About Zapata AI
Open Positions

2024 internship opportunities.

We are looking for the best and brightest scientists to expand upon the research we are pursuing and engineers to bring it all to life. Zapata AI interns have developed algorithms that have advanced the field of generative AI, built software packages that continue to be used at Zapata AI, and they’ve shaped our culture in a wonderful way. Typical open requisitions include algorithmic research, generative AI, software, and hardware.

 

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Why should you intern with Zapata AI?

Interns get hands-on experience working at the forefront of generative AI and quantum computing.

Many past interns have had author credits on peer-reviewed research.

Our workforce is fully remote. Work from home or wherever else you choose.

Mentorship from leading researchers in their field.

Fast-paced culture of collaboration, transparency, and honesty.

Interns receive competitive compensation in the form of a stipend.

Program History

Previous internship classes.

2023

2022

2021

2020

2019

2018

2023

2023

Contributions include:
  • Development of GenAI demos for customers
  • Extension of research and product capabilities for LLM Applications
  • Performance improvements to proprietary QML libraries
  • Development of benchq software for modeling fault-tolerant quantum computations
  • Development of quantum compilation software for differential equations quantum algorithms
  • Integration of MLflow with Orquestra for data management and visualization

2022

2022

Contributions include:
  • Developed an integration with Nvidia’s GPU-based quantum simulator, cuQuantum
  • Developed tools that allow us to better use NISQ devices
  • Demonstrated generalization capabilities of quantum circuit Born machines (QCBMs)
  • Enhanced performance of probabilistic models via data-model matching
  • Created documentation for Orquestra and insightful blog posts 
  • Boosted optimization capabilities of tensor-network-based generative models for constrained and continuous problems

2021

2021

Contributions include:

2020

2020

Contributions include:

 

2019

2019

Contributions include:

“At Zapata AI, interns do far more important work beyond the administrative tasks they might find at other internships. Our interns play a key role in publishing new research and engineering solutions for customers. Some of our most foundational research and techniques were developed by interns who went on to work for us full-time. We wouldn’t be where we are today without our interns.”

– Yudong Cao, Chief Technology Officer

Intern Highlight

Amara Katabarwa

When Amara Katabarwa first joined Zapata AI as a summer 2018 research intern, he was studying the characterization of noise in quantum devices as a Ph.D. student at University of Georgia with supervisor, Michael Geller. Amara brought his expertise to Zapata AI, where he worked on simulating errors in quantum devices using variational quantum channels as well as developing methods to improve correction of readout errors. After completing his Ph.D., Amara joined the company full-time as a Quantum Research Scientist, leading and contributing to numerous projects, including Geometry of Two-Qubit PQCs , experimental demonstrations of Variational Quantum Factoring, quantum generative modeling, and Robust Amplitude Estimation. Today, Amara leads the hardware integration team.

Amara's Bio
Intern FAQ

Frequently Asked Questions

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