As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems,

building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from

prototype to production.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog

AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems

across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause

analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.

2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response

is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the

simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass

frontier models at a fraction of the cost.

What You'll Do:

Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
Implement models, run experiments at scale, and profile for reliability, performance, and cost
Build simulation environments and replay infrastructure for agent training and evaluation
Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation

fidelity

Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden

prototypes into reliable services

Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code,

documentation, and open-source artifacts

Who You Are:

You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray,

Slurm, or similar frameworks is a plus

You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and

data infrastructure

You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including

containerization, orchestration, and GPU acceleration

You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM,

DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization,

speculative decoding)

You can explain design and performance trade-offs clearly to both technical and non-technical audiences
You have experience supporting or contributing to research publications

Bonus Points (any of the following):

You have strong software engineering skills with experience in domains such as observability, SRE, or security
You have experience bridging research prototypes and real-world product applications, especially with large foundation models,

world models, or RL-trained agents

You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
You have hands-on experience with GPU programming and optimization, including CUDA
You have experience writing production data pipelines and applications
You have experience building simulation or sandbox environments for agent training

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's

okay. If you’re 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
Intra-departmental mentor and buddy program for in-house 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.

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission

to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure

monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all

sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and

work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful

people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife

on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone

regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status,

disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories,

consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and

Candidate Privacy Notice.

#LI-hybrid

---------------------------------------------------------------------------------------------------------------------------------

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the

technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place,

using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI

leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram,

LinkedIn, and Datadog Learning Center.

---------------------------------------------------------------------------------------------------------------------------------

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national

origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other

characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal

requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of

our website or need assistance completing the application process, please complete this form. This form is for accommodation

requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and

Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Role

AI Research Engineer - Datadog AI Research (DAIR)

Tags for this job

Dev Eng

Similar Jobs

AI Research Scientist - Datadog AI Research (DAIR)

Datadog

Paris•Posted: Jul 7•Deadline: Aug 16

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: 1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: * Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability * Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure * Design and build simulated environments and RL training loops for on-policy agent training and evaluation * Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products * Stay at the forefront of foundation models, world models, and RL-based agent research * Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks Who You Are: * You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) * You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) * You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) * You are familiar with efficient training, post-training, and inference techniques for large foundation models * You can explain complex models and research findings to both technical and non-technical audiences Bonus Points (any of the following): * Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents * Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * Experience writing production data pipelines and applications * Hands-on experience with GPU programming and optimization, including CUDA Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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 * Intra-departmental mentor and buddy program for in-house 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. About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Dev Eng

Senior AI Engineer

Datadog

Paris•Posted: Jul 7•Deadline: Aug 16

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. WHAT YOU’LL DO: * Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents. * Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products. * Prototype and see what works well in the real world, iterate closely with our users, and then ship. * Follow the latest research on LLM prompting, agents, and code editing. * Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments. WHO YOU ARE: * You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production. * You are passionate about Generative AI and its ability to help software engineers be more productive. * You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields. * You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution. * You want to work in a fast, high-growth startup environment that respects its engineers and customers. * You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers). * You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. * Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Dev Eng

Senior Applied Scientist

Datadog

Paris•Posted: Jul 7•Deadline: Aug 16

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. 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 work-life harmony that best fits them. What You’ll Do: * Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases * Leverage machine learning algorithms and statistical techniques to build new scalable product features * Develop, deploy and monitor new and existing features to production * Participate in our journal club by reading and presenting the latest academic research papers to the team * Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems * Maintain and monitor the models, services and infrastructure owned by your team * Participate in your team’s on-call rotation Who You Are: * You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience * You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines * You can explain complex ideas and algorithms to non-technical audiences * You care about code simplicity and performance * You are excited to work on a user-facing product Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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 * Intra-departmental mentor and buddy program for in-house 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. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Dev Eng