Machine Learning Engineer
At Augment Solutions
Augment provides best-of-breed support and sales augmentation tools to help Fortune 500 brands better communicate with their customers. In less than six months, we’ve attained several large name brands like Samsung and Dyson, and have many more awaiting implementation.
With a rock star team from Carnegie Mellon, YCombinator, etc, our team is poised to take over an emerging market. Our core products, Chat Helper and Product Helper, use the latest techniques in machine learning and natural language processing to provide innovative human-in-the-loop systems to agents in the call center.
Augment is seeking talented data scientists to help redefine the communication process between brands and customers.
As part of the data science team, you will be helping to develop critical features for core products – ones with no shortage of high quality data-sets, and large numbers of consumers it impacts.
How do we build a best-of-breed NLP classifier? How do we improve unsupervised learning methods to analyze and structure a year’s worth of conversational data? These and more are some of the problems you will tackle daily.
Our Ideal Candidate:
Has experience applying applying NLP, and general supervised and unsupervised machine learning methods to real-world datasets
Proficiency in probability and statistics, including experimental design and causal inference
Practical experience with various languages like Python/R/SQL, and libraries like Scikit-learn,Tensorflow, NumPy, Gensim, etc.
Understanding of machine learning methods; classification, clustering, feature selection, neural networks etc
Augment is an equal opportunity employer and values 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.