We are a full-stack quantum computing company based in Berkeley and Fremont, CA.
The Machine Learning Engineer will be responsible for researching and developing machine learning techniques to augment our hybrid classical/quantum computing stack to solve problems using quantum computers.Key Responsibilities
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We offer a comprehensive benefits package, including healthcare coverage. For more information, refer to our Careers page here.
We are a full-stack quantum computing company. We design and manufacture superconducting quantum integrated circuits. We package and deploy those chips in a low temperature environment, and we build control systems to perform quantum logic operations on them. We build software to integrate our systems directly into existing cloud and HPC infrastructure.
We believe the first useful quantum computers are within reach, and we believe quantum computing has the potential to one day have an enormous positive impact on humanity. To help realize that vision, we also develop new algorithms for quantum computing, with a focus on near-term applications in computational chemistry and machine learning.
Our product, Forest, is the worlds first full-stack programming and execution environment for quantum/classical computing. Forest includes Quil (quantum instruction language), our programming standard for quantum/classical computing.
San Jose, San Francisco CA
Phone: 866 816-1615 x 823