Principal ML Engineer

As part of the Direct-to-Consumer Decision Sciences team, the Principal Machine Learning Engineer will lead a team of talented Machine Learning Engineers, mentoring and guiding them to deliver Machine Learning solutions that unleashes the power of our streaming data. We gather data from across all customer/prospect journeys in near real-time, to allow fast feedback loops across territories; combined with our strategic data platform, this data ecosystem is at the core of being able to make intelligent customer and business decisions. The ideal candidate will have a proven track record of leading successful Machine Learning projects, a strong technical background, and excellent communication skills. Responsibilities include, but are not limited to: Lead team in design, build, testing, scaling and maintaining Machine Learning pipelines, according to business and technical requirements Identify and engineer relevant features to improve model performance and interpretability Deliver observable, reliable and secure software, embracing “you build it you run it” mentality, and focus on automation Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies Take an active role in story definition, assisting business stakeholders with acceptance criteria Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to translate business requirements into technical solutions Work with other Principal Engineers and Architects to share and contribute to the broader technical vision Stay current with emerging trends in machine learning, deep learning, and artificial intelligence, and drive innovation by evaluating and integrating new techniques Develop and champion best practices, striving towards excellence and raising the bar within the department Operationalize data processing systems (dev ops)