Data Scientist. Autonomous Agent Researcher
Confirmed live in the last 24 hours

201-500 employees

AI-driven knowledge management for contact centers
Company Overview
Shelf stands out as a promising workplace due to its focus on enhancing knowledge management and customer satisfaction through its MerlinAI technology. This technology not only identifies and prioritizes issues but also monitors content continuously, thereby turning an organization's knowledge into a robust infrastructure for success. The company's culture of technical advancement and industry leadership, coupled with its unique approach to mitigating compliance risks, makes it a competitive player in the AI-driven contact center landscape.
AI & Machine Learning

Company Stage

Series B

Total Funding





Stamford, Connecticut

Growth & Insights

6 month growth


1 year growth


2 year growth

Lviv, Ukraine
Experience Level
Desired Skills
Data Analysis
Data Structures & Algorithms
Natural Language Processing (NLP)
AI & Machine Learning
  • 2+ years of experience with a proven record in the AI/ML and data analytics
  • Demonstrated proficiency in Python programming and database development (SQL, NoSQL, Vector DB)
  • Strong knowledge of Machine Learning and NLP
  • Strong understanding of AI principles, including prompt engineering, reinforcement learning, and AGI
  • Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or Langchain
  • Strong analytical and problem-solving skills, with the ability to tackle complex challenges
  • Proactive, self-motivated, and able to work independently or as part of a team
  • Continual learning mindset, staying up-to-date with the latest advancements in AI and autonomous agents
  • B.S. or MS degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or equivalent fields
  • PhD. in Computer Science, Mathematics or Statistics with specialization in machine learning/deep learning/reinforcement learning
  • Experience with Amazon ML Services, including custom modeling on SageMaker
  • Experience deploying and maintaining ML solutions in production
  • Experience with Search and Retrieval, Question Answering, and Knowledge Management systems
  • Experience in autonomous agents development
  • Experience in chat bot development
  • As a plus submit your resume, cover letter, and a portfolio, github projects, research papers showcasing your relevant work in AI/ML and autonomous agent development
  • Active participation in the ML community is also highly appreciated
  • According to MarketWatch in November 2022, the global knowledge management market size was valued at US$405 Billion in 2021 and is expected to expand at a CAGR of 18.12% during the forecast period, reaching US$1.1 Trillion by 2027
  • Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
  • We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
  • Our platform has been consistently rated #1 for overall usability by Gartner Digital Markets, and has received Easiest to Use, Easiest to Admin, and Highest Adoption awards from G2., and product of the year and innovation awards from leading publications, such as CIO Review
  • We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
  • We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
  • Research and develop solutions for Knowledge Management automation with the newest technologies in LLMs, Autonomous Agents and NLP
  • Work with a variety of NLP and ML techniques to deliver best possible solutions for the business task
  • Collaborate with cross-functional teams to integrate autonomous agents into new and existing products and services
  • Write and maintain high-quality Python code and database solutions to support ML functionality
  • Conduct research on emerging trends and technologies in AI, LLM, and autonomous agents, and recommend strategic improvements to enhance our capabilities
  • Contribute into collective competence through documentation of code, algorithms, development process and knowledge sharing sessions
  • Participate in code reviews, ensuring adherence to best practices and coding standards
  • Collaborate with stakeholders to define project requirements, timelines, and deliverables