Full-Time · San Francisco, California · Engineering ·
Cresta's on the path to solve conversational general intelligence. Our NLP engineers and research scientists develop cutting edge NLP solutions to empower our suite of enterprise products. We use a full range of deep learning technologies ranging from language modeling, knowledge graphs to semantic parsing. Cresta is looking for talented software engineers with an academic or industrial background in NLP.
You will join a collaborative but highly autonomous working environment in which each member has a strong ownership to shape the product.
Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.
What You'll Do:
Design and develop infrastructure to collect high-quality labels for large-scale datasets.
Research and implement cutting edge deep learning architecture to solve open-ended problems.
Work with product team to code, train and deploy production-grade machine learning systems.
Help shape the direction of machine learning and artificial intelligence at Cresta.
What We Look For:
BS, MS or PhD in Computer Science, Machine Learning, NLP or a related technical field.
Experience building one of the following production systems in industry: natural language processing, bayesian models, information retrieval, learning to rank, recommender systems, speech recognition, unsupervised learning.
Good mathematical understanding of popular NLP and Machine Learning algorithms.
Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc).