AI Researcher
il y a 3 jours
Unlock the Potential of Large Language Models with Datadog
In this exciting role, you will have the opportunity to contribute to the development of cutting-edge large language models (LLMs) and generative AI technologies at Datadog.
We are looking for a talented Data Scientist to join our Large Language Models team, where you will work on building and deploying LLMs to power features across the Datadog platform. Your expertise in machine learning algorithms, distributed training, and inference frameworks will be invaluable in designing robust and secure infrastructure for our systems.
About the Role:
- You will work on a wide range of projects, including building large-scale distributed fine-tuning and training infrastructure, deploying LLMs on GPU instances for real-time use cases, and designing robust, secure infrastructure.
- You will create new product features using advanced machine learning algorithms, LLMs, and statistical techniques to enable users to understand their data and systems, reason, plan, and act.
- You will collaborate with a group of AI specialists and scientists to envision the future state of our abilities while aiding in the design and deployment of crucial services.
- You will actively participate in our journal club by reading and presenting the latest research papers in the field of LLMs and Generative AI.
- You will provide deeper insights and stories behind massive data processed in Datadog systems.
- You will develop, deploy, monitor, and maintain LLM models, services, and infrastructure managed by your team and participate in your team's on-call rotation.
What We're Looking For:
- 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.
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.
- Intra-departmental mentor and buddy program for in-house networking.
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups).
The estimated salary for this role is between $187,000 and $240,000 per year, plus a competitive equity package, and may include variable compensation.
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