Senior Applied Scientist Large Language Models / Generative AI
Our Data Science Large Language Models team uses advanced generative AI technologies to create powerful features within the Datadog application. Our focus lies in the finetuning training and serving of LLMs to power features across the Datadog platform. As a applied scientist on the team you will contribute to building the foundation of impactful features using LLMs as a core computation unit to enable our users to understand their data and systems reason plan and act. You will get the opportunity to collaborate with a group of skilled engineers and data scientists to improve and implement stateoftheart Large Language Models and Agents to have a direct impact on Datadog products (see Bits AI your new DevOps copilot for example)
At Datadog we place value in our office culture the relationships that it builds the creativity it brings to the table and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a worklife harmony that best fits them.
What Youll Do:
- Work on a wide range of projects building largescale distributed fine tuning and training infrastructure deploying LLMs on GPU instances for realtime use cases designing robust secure infrastructure or supporting cuttingedge 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 teams oncall rotation
Who You Are:
- 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 largescale 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 nontechnical personnel
- You value code simplicity and performance
- You are passionate about Generative AI and want to contribute to userfacing product
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits and Growth:
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
- Opportunity to attend and present at conferences and meetups
- Intradepartmental mentor and buddy program for inhouse networking
- An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LITB1
Required Experience:
Senior IC