Team Lead - Machine Learning

The Team Lead Machine Learning will be a key member of Airwoot?s technical team reporting to the CEO, responsible for the development and constant evolution of our Artificial Intelligence System. As Team Lead, the spectrum of responsibilities will also include managing the Machine Learning Team in their day to day tasks and any technical challenges they may face. The ideal candidate should be a PhD. in Computer Science with relevant work in Machine Learning demonstrated in peer reviewed conferences or open source projects. The ideal candidate would also bring free-spirited academic creativity within the rigors of a professional business delivery organization. Product culture At Airwoot, we believe in strong team, solid vision and consistent execution. One dimension which binds these characteristics is to have a strong product culture. A strong product culture means that the team understands the importance of continuous execution and learning. We understand the need to break things in order to learn, but we break them faster and mitigate the risks. We understand the need for continuous innovation. We know that great products are the result of team collaboration. We respect and value our designers and engineers. We understand the power of motivated product team and engineering excellence. Summary and Requirements Much of our work on uncovering business insights behind each conversation on social media relies on Machine Learning and AI. We listen to millions of social media conversations and apply learning algorithms to siphon actionable conversations in real-time, classify spam and generalize from that evidence to bring actionable insights. Machine learning at Airwoot involves deep scientific and engineering challenges. Today Machines aren't very good in understanding human languages. In addition to that social media with notoriously noisy text brings even more challenges to the equation with inherently different orthography, intentional message brevity producing ungrammatical structures with ill-formed words, phonetic substitutions, and new age emotional gestures. In disseminating the language of ever evolving social media, the statistics of the data we observe shifts rapidly, the features of interests keep changing, and the scale of social often push us into large-scale distributed training algorithms. We expect you to have in-depth experience with Probabilistic Models, Supervised and Unsupervised Learning, Neural Networks, Support Vector Machines, and have demonstrated history of providing measurable results. The ideal candidate should be a PhD. in Computer Science with relevant work in Machine Learning demonstrated in peer reviewed conferences or open source projects. Job perks Highly passionate team of A-star co-workers, advisors and investors Open and embracing culture for the latest hot technologies a high level of freedom and responsibility a competitive salary, equity benefits