Machine Learning Engineer

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 Perform research in the intersection of machine learning and quantum computing, working closely with both applications researchers and engineers Develop production-quality software applying learned techniques, using real quantum computers Integrate existing machine learning frameworks and tools into our quantum computing stack About You Expertise in the area of machine learning and optimization, both theoretical and practical Experience working with software through the full development lifecycle Deep knowledge of several key frameworks for machine learning, such as TensorFlow, CNTK, Theano, Torch, and Keras Strong mathematical and quantitative reasoning skills, especially in linear algebra Preferred Qualifications Knowledge of several programming language paradigms at an advanced level Demonstrated open source success, especially in the area of machine learning Masters or Ph.D.

in a technical area Knowledge of the fundamentals of quantum computing (Note: This is not a requirement) 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.

ABOUT US 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.

Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: x 823