Datadog

Staff AI Engineer, Graphing

Datadog

full-time

Posted on:

Origin:  • 🇺🇸 United States • Alabama, Arizona, California, Colorado

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Salary

💰 $234,000 - $300,000 per year

Job Level

Lead

Tech Stack

CloudNode.js

About the role

  • We’re looking for a Staff Software Engineer with deep experience in AI/ML to join Datadog’s Graphing organization. The Graphing organization develops Datadog’s suite of core tools: Dashboards for flexible display of live display of real-time insights, Notebooks for collaborative investigations and technical documentation, Sheets for manual curation of tabular data, search capabilities powering user queries, and powerful data-visualization toolkits that are used across Datadog. These product lines enable a majority of Datadog users’ daily workflows. This gives us a powerful opportunity for us to be industry leaders in AI-driven workflows for natural-language-queries, graph generation, automated investigations, and more.
  • This role requires a technical leader with deep AI/ML expertise to help power these workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. You will work with leaders to identify and prioritize opportunities to apply GenAI models in graphing workflows. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a leadership track record who can help us excel in this exciting new domain.
  • Act as a technical leader driving GenAI/ML projects from concept to production.
  • Build and benchmark GenAI/ML models using state-of-the-art techniques.
  • Establish a high standard of technical excellence for ML development in Graphing
  • Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups
  • Influence product direction by bringing a strong product mindset to your work, always advocating for the end user
  • Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction

Requirements

  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • 10+ years of relevant engineering experience, as well as experience acting as a technical lead
  • Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
  • You have significant experience in model deployment, development, training, fine-tuning, and evaluation
  • Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
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