Remoteville

Remote Research Engineer II Job in United States Smarsh

Research Engineer II Smarsh
$130000 - $145000
Computer ScienceData ScienceLarge Language ModelsMachine LearningMathematicsNLTKNatural Language ProcessingOptimizationPattern Recognition
Junior (1-2 years) - 
United States
1465+ employees
SaaSCloud ComputingComplianceFinancial Services


Role


Who you are

  • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field with research emphasis
  • 1+ year research experience working with data & analytics
  • Experience working with Python
  • Familiarity with one or more data science and machine/deep learning frameworks such as scikit-learn, H2O, keras
  • Experience using Git, Linux/Unix, an IDEs
  • Familiar with multi-modal unstructured communications data (text, speech, image/video)
  • Preferred: Master’s or Doctor of Philosophy degree
  • Experience working with NLP, text analytics/classification, audio analytics
  • Knowledge of transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, GPT-x etc.)
  • Experience using various Large Language Models (LLM)
  • Experience with natural language processing toolkits like NLTK, spaCy
  • Knowledge of microservices architecture and continuous delivery concepts such as helm, Docker, Kubernetes
  • Cloud computing (AWS, GCS, Azure)
  • Multi-lingual communication skills/experience

Desirables

  • Passionate about exploring new technologies
  • Ability to work both independently and in teams
  • Hands-on, can-do attitude



What the job involves

  • Analyze unstructured communications data to address customer problems
  • Develop and evaluate new research ideas, existing capabilities
  • Collaborate extensively with Data Science team and Product Managers to create insights and solutions

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Company


Company mission

Smarsh enables companies to transform oversight into foresight by surfacing business-critical signals in their digital communications, helping them identify regulatory and reputational risks before they become fines or headlines. Their cloud-native solutions cater to global clients in banking, insurance, brokerage, and government agencies.




Company benefits

  • Opportunity to work with cutting-edge technology
  • Exposure to production-level machine learning and analytics
  • Global organization with a diverse culture



Company values

  • Innovation
  • Collaboration
  • Lifelong Learning
  • Diversity
  • Authenticity



Company HQ

Portland
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