About Shelf

We are a venture-backed, knowledge automation tech company with a cutting edge, AI driven, SaaS platform to automate the right answers for the people that need them most.  

Our platform plugs into a company’s content systems, learns from the data, and then helps employees respond to queries without hunting for information. 

Our goal is to turn every customer service representative into a super-agent by helping them find answers to questions instantly. We provide immediate Day 1 ROI for some of the world’s top brands and enterprises right now.

Our mission is to empower humanity with better answers everywhere and our vision goes far beyond solutions for contact centers.  

Data Scientist

As a data scientist, you will be part of the R & D department, which plays a strategic role in the company and helps Shelf to create a difference in the market. 

You will work on a B2B product that is used by tens of thousands of users from such organizations like Glovo, HelloFresh, Herbalife, etc, and experiencing growth every consecutive month

We are seeking a highly motivated, experienced and skilled Data Scientist with Autonomous Agent development experience and with a strong background in artificial intelligence and machine learning. Hands-on experience in Python programming and database usage are also necessary.

Highly desirable that the ideal candidate will have hands-on experience in the areas of NLP, LLM, prompt engineering, reinforcement learning. In this role, you will be responsible for researching, developing, and implementing advanced autonomous agents to drive innovation in our products and services.

Last but not least, active participation in ML communities and open source projects is a big plus.

Requirements

• 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.

Experience in collaborating with cross-functional teams in a fast-paced environment.

• Strong analytical and problem-solving skills, with the ability to tackle complex challenges.

Excellent communication and interpersonal skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.

• 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.

As a plus

• 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.

Responsibilities

• 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.

What Shelf Offers:

• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Working on B2B contract

Why Shelf

• 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