Intern with Zapata AI.
Our scientists and engineers are accelerating the quantum future and pioneering new quantum, generative AI, and machine learning algorithms and techniques to tackle the most complex problems in industry.
Boniface Yogendran (Yogi)
Javier Lopez Piqueres
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.
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.
Zapata AI is a very intellectually diverse and rich environment. It can almost be guaranteed that you can find someone who is interested in almost any particular subfield of near-term quantum computing; from quantum intermediate representations to state preparation algorithms and everything in between.
What types of roles does Zapata AI hire interns for?
We are looking for the best and brightest scientists to expand upon the research we are pursuing and in many cases lead their own research. Zapata AI interns have developed quantum algorithms that take us closer to quantum advantage, built software packages that are continuing to be used at Zapata AI, and they’ve shaped the culture in a wonderful way. Typical open requisitions include algorithmic research, quantum AI, software, and hardware.
What can I expect as an intern at Zapata AI?
Intern projects are co-designed and planned between interns and supervisors. So, much is to be determined by you, future Zapata AI intern. Many of our positions focus on two questions: How should we use early fault-tolerant quantum computers to achieve quantum advantage in simulation and optimization and how should we use NISQ devices to achieve quantum advantage in machine learning? While there is much work to be done in answering these questions, the beautiful thing is that our approach to solving these problems, the “Zapata AI way”, has largely been shaped by an amazing cast of Zapata AI interns.
How has the program evolved over the years?
The Zapata AI Internship Program is a well-oiled machine. An essential part of any well-oiled machine is its constant upkeep and improvement. We’ve gotten great feedback from each batch of interns and adjusted the program accordingly. Over time, we’ve learned that project planning led by interns helps create ownership and is a recipe for success (and good papers!). We’ve learned that flexibility to shift focus and follow a promising lead makes for great discoveries. And we’ve learned to keep it simple because this lets us stay focused on “impact over impress.”
What happens after the program ends?
Many of our interns return to the program multiple seasons. Upon graduating from the program, interns from our early cohorts are now postdocs in renowned research groups, lecturers at prestigious universities, and even leaders within Zapata AI. Many have gone on to work for Zapata AI's academic and research partners as extensions of the work they pursued during their time with Zapata AI or to work on other new, compelling quantum-related projects.
Previous Zapata AI internship classes