Full-Time

Senior Applied Scientist

Large Language Models / Generative AI

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Compensation Overview

$187k - $240k/yr

+ Variable Compensation + Stock Equity (RSUs)

Senior

Company Historically Provides H1B Sponsorship

New York, NY, USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Tensorflow
CUDA
Pytorch
Machine Learning
Natural Language Processing (NLP)
Requirements
  • You possess a BS/MS/PhD in Computer Science, Engineering, Machine Learning or a related scientific field or have equivalent experience
  • You have relevant experience with Language Models (Large LMs is a plus), NLP, large-scale systems and data sets, deep learning, or adjacent fields. Writing production data pipelines and applications is a plus.
  • You have experience with the stack for distributed training and inference of large models including distributed training and inference frameworks, and ML development frameworks such as Pytorch, Tensorflow, etc. Experience with CUDA is a plus.
  • You possess the ability to elaborate complex models and ideas to non-technical personnel
  • You value code simplicity and performance
  • You are passionate about Generative AI and want to contribute to user-facing product
Responsibilities
  • Work on a wide range of projects, building large-scale distributed fine tuning and training infrastructure, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure, or supporting cutting-edge AI research and development.
  • Create new product features using advanced machine learning algorithms, LLMs, and statistical techniques
  • Collaborate with a group of AI specialists and scientists in envisioning the future state of our abilities while also aiding in the design and deployment of crucial services.
  • Actively participate in our journal club by reading and presenting latest research papers in the field of LLMs and Generative AI
  • Provide deeper insights and stories behind massive data processed in Datadog systems
  • Develop, deploy, monitor and maintain the LLM models, services, and infrastructure managed by your team and participate in your team’s on-call rotation
Desired Qualifications
  • Experience with CUDA is a plus
  • Writing production data pipelines and applications is a plus

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations across various industries, such as finance, healthcare, and technology, to ensure their IT systems run smoothly. Datadog's products include application performance monitoring, security monitoring, network monitoring, and log management, among others. These tools work by collecting data from different parts of an organization's IT environment, allowing users to analyze performance, detect issues, and optimize operations. Unlike many competitors, Datadog offers a subscription-based model that scales with the size of the client's operations, making it accessible for both small businesses and large enterprises. The company's goal is to provide comprehensive monitoring solutions that enhance the reliability and efficiency of IT systems.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

New York City, New York

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for AI-driven cloud security boosts Datadog's revenue forecast.
  • Expansion in Bengaluru taps into India's rapidly growing tech ecosystem.
  • Acquisition of Eppo strengthens Datadog's position in the experimentation sector.

What critics are saying

  • Expansion in India may lead to increased competition from local startups.
  • Integration of Eppo may face challenges affecting user experience.
  • Open-source tools like GuardDog may expose Datadog to potential security vulnerabilities.

What makes Datadog unique

  • Datadog offers a comprehensive suite for IT infrastructure monitoring and management.
  • The company integrates open-source tools like GuardDog for enhanced security capabilities.
  • Datadog's scalable pricing model caters to both small businesses and large enterprises.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

0%
Open Source Security Foundation
Jun 18th, 2025
Member Spotlight: Datadog - Powering Open Source Security with Tools, Standards, and Community Leadership

In early 2025, Datadog launched GuardDog, a Python-based open source tool that scans package ecosystems like npm, PyPI, and Go for signs of malicious behavior.

Flex Insights
Jun 16th, 2025
Datadog Expands Bengaluru Operations Amid Surging Demand in India's Tech Ecosystem

Datadog expands Bengaluru operations amid surging demand in India's tech ecosystem.

GovTech Insider
Jun 10th, 2025
Veteran Technologist Herman Chao Joins Datadog

Veteran technologist Herman Chao joins Datadog.

Newsfile Corp
Jun 10th, 2025
Datadog Expands LLM Observability with New Capabilities to Monitor Agentic AI, Accelerate Development and Improve Model Performance

In preview, Datadog launched LLM Experiments to test and validate the impact of prompt changes, model swaps or application changes on the performance of LLM applications.

Telecom Reseller
May 22nd, 2025
Datadog Launches Open-Source AI Model "Toto" and Massive Observability Benchmark "BOOM"

Datadog launches open-source AI model "Toto" and massive observability benchmark "BOOM"