Applied Research Scientist – Machine Learning - NLP PEOPLE : Job Details

ResponsibilitiesDesign, build, and train highly scalable custom models and evaluate model performanceAdapt standard machine learning methods to apply to our use cases and to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Suggest, collect, and synthesize requirements and contribute to creating an effective feature roadmapHelp the team deploy production ready models to customers, to learn from customer feedback and make frequent model improvementsContribute to the overall architecture and implementation of our ML infrastructure, data pipelines, inference engine(s), APIs, and productsCollaborate with our engineering and product teams to understand their machine learning related needs and to provide guidance and support where necessaryParticipate in functional, technical, and code reviewsWork in an Agile environmen

ADP

Minimum QualificationsCurrently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning or similarMust be available to start employment on or after July 1, 2019Able to obtain work authorization in the US beginning in 2019Research and/or work experience in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer visionExperience in systems software or algorithmsKnowledge in Python, including experience with ML related packages such as NumPy and pandasProven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similarDemonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)

Preferred QualificationsExperience in applying machine learning for a global-scale enterprise or consumer applicationDemonstrated knowledge and ability working with AWS, Google Cloud, or other cloud-based solutions to train models, set up data pipelines, and set up inference enginesExperience in microservices, Kubernetes, Docker, or other containerizersWorking knowledge of Node.js, JavaScript, and related technologies and frameworksKnowledge of Continuous Integration & Delivery methodologiesExcellent problem-solving skills especially debugging of complex software systemsExcellent written and verbal communication skillsA passion for applying latest technologies into the development of innovative features and productsA collaborative attitude and demonstrated team-working abilitySelf-motivated with a strong passion for learningIndustryComputer Software Financial Services Human ResourcesEmployment TypeFull-time

Job FunctionsOther

Ph. D.

Tagged as: Clustering, Industry, Machine Learning, Pattern Recognition, Ph. D., Recommendation System, United States