Machine Learning / AI - Internship in Silicon Valley Startup Digitalmain, Inc. - Cupertino, CA Internship Does high complexity, global ambitions and big visions fuel your developer-mind? Then we may have a compelling Machine Learning / AI Internship positions available for you, right in the heart of Silicon Valley. As a Machine Learning / AI Intern at DIGITALMAIN, INC you will be responsible for implementing machine learning functionalities for our product. This requires you to have a strong experience in Python, R, NLP, shallow parsing, entity recognition, be independent, resourceful and accountable for your own work. ATTENTION: This is not a typical corporate internship. This is a 100% hands-on internship for a nimble startup that will require dedication and hard work - apply only if you are up for the challenge.The projects you work on will play a crucial part in the development of our product and will act as an excellent addition to your professional portfolio. Who You Are You are a strong Python developerand statistician with experience in applying machine learningin the domains of Natural Language Processing, Text Search, Information retrievalthrough public and private domains. You actively follow trends and new developments in the space of AI/machine learning impact use-cases in our day-to-day lives as well in business settings. You have experience with software development, big data systems, knowledge of machine learning and traditional algorithms, and can communicate the complexities of data science to non-technical audiences. Above all, you are a creative and avid problem-solver prepared to use both classical and novel techniques to deliver advanced solutions. What You'll Do As a Python Machine Learning Engineer you will ideate, design, implement and optimize statistical models to drive the next evolution of our software product. You will gather business problems and data from various business and product stakeholders and deliver machine-learning based solutions. You will have the opportunity to transform the customer digital interactions with our product and you will build the core machine learning systems to drive precision and intelligence recommendations. *Who You'll Work With * As a member of this nimble startup product team, you will work with computer science engineers, product management, business stakeholders to process requirements and engineer solutions. The team focuses primarily on building a software product with strong ML/AI component. The Machine Learning engineer will be responsible in developing and shaping the ML/AI piece with the customer and partner facing team that designs the digital customer experience Our Minimum Requirements: * Strong Python tech stack in machine learning both local (numpy, scikit-learn, pandas) and distributed (PySpark ML, MLLib) * Bachelors or Masters Degree in Computer Science, Statistics, Mathematics, or similar * Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering * Fundamentals of algorithms and computational complexity, especially in scalable data-mining algorithms. * Enthusiasm for solving messy problems. * At least 1 years of experience in machine learning. * Experience in dealing with large volumes of data, text processing and feeding into statistical models for predictions/recommendations Desired Skills: * Information Retrieval and Text Processing , NLP use * Python mastery * Experience with either R, PredictionIO, PyTorch, Tensorflow * Ability to implement complex algorithms by hand (i. e. backpropagation, Locality Sensitive Hashing, PageRank) on a distributed platform. * Experience in high-dimensional natural language processing with preferably both shallow and deep learning methods. * Proficiency in interactive visualizations Job Type: Internship Experience: * Parsing: 1 year * Machine Learning: 1 year * Python: 2 years * NLP: 1 year 20 hours ago - save job Apply Now Please review all application instructions before applying to Digitalmain, Inc..