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Job Description: Machine Learning Engineer Palo Alto, San Francisco, San Mateo · Full Time Early-stage startup predicting user behavior via innovations in machine learning / big data / marketing personalization Job Description OVERVIEW We are an early-stage startup innovating in distributed systems and machine learning, with a mission to build a self-service AI to predict any user behavior. Our goal is to help companies automatically predict their most important user outcomes - propensity to buy and churn. We’re building a self-service platform to automatically connect disparate datasets across millions of users, extract machine learning features across billions of events, and produce predictive insights to optimize a company’s downstream marketing operations. We’re led by a team from Google and Optimizely, and well funded by investors in Dropbox, Optimizely, and AppDynamics. We’re in the earliest stages, but already have mid-market & public customers, pushing the...

Job Description: Software Engineer, Machine Learning and Artificial Intelligence Mountain View, CA, US We are looking for a smart, driven engineer who’s fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. You’ll work on a small dynamic team to design and implement state of the art deep learning techniques for Mor products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your team’s job to turn this data into automated solutions. YOU WILL Develop solutions for real world computer vision problems Work with the product team to come up with innovative ways to collect very large data sets for training AI systems or otherwise generating equivalent synthetic data Find the optimal balance between doing longer term research and applying research results to production code Research, develop, maintain and build...

Job Description: Machine Learning Engineer (Recommendation/Text/Deep Learning) San Francisco, CA, US Description Machine learning is at the core of our company's mission to make the world’s laws free and understandable. We're looking for experienced Machine Learning Engineers to help us build the next generation of professional legal research tools. The data team is developing groundbreaking technology for legal document recommendation and search. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you. Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. Our team works primarily in Scala, Java, and Python. We're looking for people who love taking ownership of data products and will enjoy bringing an important ML project all the way...

Job Description: Machine Learning / NLP Engineer Berkeley · Full Time Our company is an education technology company focused on changing the way writers receive feedback on their writing. Instead of waiting days for a person to read through and provide feedback manually, our users receive immediate and actionable comments within seconds that encompass far more than just grammar and spelling. Our team consists of people with backgrounds from linguists to machine learning to software engineering, and our work is a unique blend of these talents. With roots stemming from UC Berkeley, the flagship of public education, our office is just a few blocks down the street in the middle of Downtown Berkeley. Job Description We are looking for someone who is interested in developing a state-of-the-art system for catching and providing suggestions for language learner mistakes. You should be passionate about writing and helping people write effectively through AI-assisted tools. Our ideal...