Machine Learning Engineer

Machine Learning EngineerD.C. AreaAbout the PositionAs a member of our Engineering team, you will work with a tight, highly skilled machine learning / data science team dedicated to the development of proprietary consumer insights. You will be working closely with our Data Scientists, implementing highly available and scalable machine learning pipelines. If you are a Software Engineer passionate for technology who wants to work with a mature, intensely skilled team, values total ownership of your work, and can't imagine a day without coding, we want to speak to you! We're looking for a creative, focused, collaborative, technically curious individual who enjoys both design as well as working hands-on with the code. If you are interested in working on cutting edge Client and AI projects at Internet scale and speed this is the job for you!Key ResponsibilitiesDesign and implement Client feature pipelinesOptimize pipelines and processes for model development, experimentation and scaled production scoringImplement machine learning algorithms and libraries in service to modeling and production scoring pipelinesMonitor and ensure the quality of machine learning solutions by implementing process and control disciplines as well as tooling to governAnalyze large and complex data sets to derive valuable insights, inform feature and product developmentApply machine learning and data science techniques and design distributed systemsQualifications & Experience RequirementsStrong Software Engineering background with emphasis in data science and machine learningFluent in Java, Python, and/or Scala programming languagesStrong communication skills including the ability to describe complex models and findings to different audiences and stakeholders, from data science peers to business decision-makersDemonstrated exploratory analysis and visualization abilities in a non-academic settingsStrong bias for action and ability to pivot quickly and act with agility according to the needs of the businessWorking knowledge of machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS)Experience designing, implementing, and transitioning to AI/Client cloud based frameworks such as Amazon SageMakerExperience implementing quality and control disciplines for Machine Learning pipelines through process and toolingAbility to handle multiple projects simultaneously, meet deadlines, and effectively manage priorities and communicate progressFluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)Computer Science or equivalent degree and work experience