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.
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.
Boniface Yogendran (Yogi)
Javier Lopez Piqueres
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.
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.
– Yudong Cao, Chief Technology Officer
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.
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