4 jobs found in berkeley

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...

Thanks for your interest in working with us. This is an overview of the problem we are solving, what weve done so far, and how you can get involved. We are a secure, automated machine learning platform for integrating, analyzing, and protecting sensitive data. Enterprises cannot safely leverage their data for analytics and machine learning because of security, privacy, and regulatory risks. The company's technology enables enterprises to securely analyze and share sensitive data without exposing any confidential information. Unlike traditional methods which remove or obfuscate information, we enable analytics across all data elements and data sources with the highest standard of security and privacy. We are deployed with the worlds largest enterprises across healthcare, technology, and financial services, solving entrenched problems around operationalizing data. We have raised $12.6M in capital and contracted seven-figure annual recurring revenue from customers. We are...

Join a growing, venture-funded startup! You'll be developing core components of our litigation infrastructure, an online platform for lawyers to review, analyze, and collaborate on millions of documents.  Tackling litigation with technology is a surprisingly deep challenge, and it requires a lot of computer science, including machine learning, data visualization, search, distributed systems, databases, real-time collaboration, nifty user interfaces, and more.  We're looking for full-stack generalists. We value great CS fundamentals, native ability, and humility, over experience with any particular platform, technology, or specialization. If you happen to have a specialty, we'll put that to use -- but we won't restrict you to that area.  We care a lot about finding the best engineers, writing correct software, using the right tools for the job, and avoiding dogma, and as a result we've been able to build quite a bit of sophisticated technology with a small, talented team....

Join a growing, venture-funded startup! You'll be developing core components of our litigation infrastructure, an online platform for lawyers to review, analyze, and collaborate on millions of documents.  Tackling litigation with technology is a surprisingly deep challenge, and it requires a lot of computer science, including machine learning, data visualization, search, distributed systems, databases, real-time collaboration, nifty user interfaces, and more.  We're looking for full-stack generalists. We value great CS fundamentals, native ability, and humility, over experience with any particular platform, technology, or specialization. If you happen to have a specialty, we'll put that to use -- but we won't restrict you to that area.  We care a lot about finding the best engineers, writing correct software, using the right tools for the job, and avoiding dogma, and as a result we've been able to build quite a bit of sophisticated technology with a small, talented team....