Full Stack Data Scientist (AI Team)

Posted Yesterday
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Tel Aviv-Yafo
Hybrid
Mid level
Productivity • Software
monday.com makes work click
The Role
Join monday.com as a Full Stack Data Scientist to implement generative AI capabilities. Responsibilities include developing AI features, conducting end-to-end research and production processes, and collaborating with developers and stakeholders to enhance user experience.
Summary Generated by Built In

monday.com is a Work OS that lets organizations manage all their work in one place. And like our platform, we are committed to building an organization with one shared mission.

We believe that the most effective teams are built on skills and passion, which is why in our recruitment process, in addition to learning about your background and experience, we really want to understand who you are and what empowers you.

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.
  • 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.


Social Title:

Full Stack Data Scientist - R&D AI Team


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.

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
  • 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

Top Skills

AI
Ml
Nlp

What the Team is Saying

Matthew Burns
Nate
Ruchita
Dipro
Nate
Kyle
The Company
HQ: New York, NY
1,500 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

monday.com is a work operating system that transforms the way teams work together. We’ve created a solution that connects people to workplace processes promoting a culture of transparency & empowerment. We're obsessed with building an excellent product. Our goal is to create a work operating system that people will love to use—one that’s fast, beautiful & responsive.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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monday.com Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model!

Typical time on-site: 3 days a week
HQNew York, NY
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Denver, CO
London, GB
Melbourne, VIC
Miami, FL
São Paulo, BR
Sydney, NSW
Tel Aviv-Yafo, IL
Warsaw, PL
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