Description

We are monday.com , a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

monday.com is looking for a full-stack data scientist to join our brand new AI R&D team within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform including defining the strategy of using LLMs, training it with proprietary data, and productizing it as part of our platform offering.

The ideal candidate will have a full-stack mindset, meaning they will actively participate in the data science, engineering, product, and business aspects of the role. You'll utilize the latest genAI technology to deliver maximum value and impact to our users.

monday AI team is responsible for the end-to-end generative AI features within the monday.com platform, creating new experiences and value for our users and building the next-generation capabilities to enhance our platform. We invite you to join our exciting journey in pushing the boundaries of AI technology.

More about mondayAI

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Evolve to AI - monday.com

About The Role

• You will utilize cutting-edge generative AI technology to develop and deploy innovative features at scale within monday.com's ecosystem.
• You will be responsible for initiating, planning, designing, and executing AI flows from research to production.
• You will use your engineering background, deep understanding of AI models, and data science methodologies to evaluate and develop AI-based pipelines.
• This is a full-stack role - an ideal candidate will not only be comfortable with algorithmic tasks and modeling but also have the technical know-how to set up and operate the environments and tooling that they require
• You will work closely with full-stack developers, product managers, data analysts, product designers, and other team stakeholders to build production-ready capabilities for more than 2 million users.
  
  

Requirements

• B.Sc . and ideally an advanced degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent experience
• 3+ years of experience as a Data Scientist in non-academic settings, ideally with a focus on Large Language Models, NLP, or other deep learning fields
• A demonstrated record of conceiving, designing, and shipping successful data science projects to production
• Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
• Strong understanding of machine learning and deep learning algorithms and principles and familiarity with relevant frameworks (TensorFlow, PyTorch, etc. )
• High proficiency in Python - A must
• Previous knowledge in Typescript - An advantage
• Team player with strong communication skills
  
  

Social Description

monday.com is looking for a full-stack data scientist to join our brand new AI R&D team within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform including defining the strategy of using LLMs, training it with proprietary data, and productizing it as part of our platform offering.

Monday AI team is responsible for the end-to-end capabilities of generative AI within monday.com platform, creating new capabilities and values for our users and building it in the open platform way, so every 3rd party monday.com developer would be able to use it for building their AI applications.