# Postdoctoral Fellow - Applied Machine Learning in Quantum Systems at QuEra Computing

- Company: QuEra Computing
- What the company does: QuEra Computing is the leading provider of quantum computers based on neutral-atoms. Our mission is to build the most scalable quantum computers. Backed by SoftBank VF.
- Company website: https://www.quera.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Boston, MA, USA
- Work setup: On-site
- Pay: $110K to $120K base salary per year (USD)
- Posted: 2026-02-26
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/queracomputinginc/jobs/5135036008
- Page: https://www.1752.vc/careers/jobs/quera-computing-postdoctoral-fellow-applied-machine-learning-in-quantum-systems/

## About the role

The approximate base salary range for this position is $110,000-$120,000. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.

## What they're looking for

- Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction
- Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state
- Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance
- Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics
- Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar)
- Demonstrated experience working with Machine Learning for inference and hardware in loop

Tags: Quantum Systems