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Senior Data Scientist - Large Language Models / Generative AI - Remote

Posted 15 weeks ago
Data Analysis
Full Time
USA
$187,000 - $240,000/year

Overview

The Senior Data Scientist will work on advanced generative AI technologies to create impactful features within the Datadog application, focusing on fine-tuning, training, and serving Large Language Models (LLMs).

In Short

  • Build large-scale distributed fine-tuning and training infrastructure.
  • Deploy LLMs on GPU instances for real-time use cases.
  • Create new product features using advanced machine learning algorithms.
  • Collaborate with AI specialists and scientists.
  • Participate in journal club discussions on LLMs and Generative AI.
  • Provide insights from massive data processed in Datadog systems.
  • Develop, deploy, monitor, and maintain LLM models and infrastructure.
  • Participate in on-call rotation.

Requirements

  • BS/MS/PhD in Computer Science, Engineering, Machine Learning, or related field.
  • Experience with Language Models, NLP, and large-scale systems.
  • Familiarity with distributed training and inference frameworks.
  • Ability to explain complex models to non-technical personnel.
  • Passion for Generative AI and user-facing product development.

Benefits

  • Competitive global benefits.
  • New hire stock equity and employee stock purchase plan.
  • Collaboration opportunities across Datadog offices.
  • Opportunity to attend and present at conferences.
  • Intra-departmental mentor and buddy program.
  • Inclusive company culture with Community Guilds.
Datadog logo

Datadog

Datadog is a leading monitoring and analytics platform for developers, IT operations teams, and business users. The company emphasizes a collaborative and inclusive office culture, operating as a hybrid workplace to promote work-life harmony. Datadog values continuous learning and technical expertise, encouraging employees to engage with customers and partners to deliver exceptional service and support. With a focus on innovation, Datadog empowers its team members to contribute to product development and customer success, fostering a friendly and passionate environment with limitless potential for growth.

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