採用

Senior Software Engineer - AI Platform
Paris, France; Sophia Antipolis, France
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Health, dental, and vision coverage
•Flexible PTO policy
•Learning and development stipend
•Remote work flexibility
•Top Tier compensation with equity
Required Skills
PyTorch
SQL
TensorFlow
The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.
We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:
-
Large‑scale experimentation, training, deployment, and monitoring
-
Developer toolchains for agents and other GenAI applications
-
Low‑latency serving infrastructure that plugs AI features into any Datadog product
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:
-
Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
-
Create a development ecosystem that enables rapid experimentation and deployment of algorithms
-
Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams
-
Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community
Who You Are:
-
You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
-
You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
-
You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
-
You have extensive experience executing projects that span data engineering, data science, and machine learning
-
You ship fast, route around blockers, and are comfortable working with ambiguity
-
You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
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.
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 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Software Engineer, Infrastructure
Clever · San Francisco, CA, OR Anywhere in the Continental U.S.

Software Engineer - Infrastructure, Foundry Platform
Palantir · New York, NY

Principal Infrastructure Security Engineer
GitLab · Remote, APAC; Remote, Canada; Remote, EMEA; Remote, US

Software Engineer, AI SDK
Vercel · Hybrid - San Francisco, New York City
Community ML Research Engineer, non-AI scientific fields - US Remote
Hugging Face · New York
About Datadog

Datadog
PublicAn observability and security platform that offers infrastructure, applications, software development, and monitoring services.
5,001-10,000
Employees
New York
Headquarters
$40B
Valuation
Reviews
3.9
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.2
Career
3.0
Management
2.8
55%
Recommend to a Friend
Pros
Interesting company and work
International presence outside US
Good for referrals from former colleagues
Cons
On-call rotation requirements
Work-life balance concerns
Timezone synchronization issues
Salary Ranges
55 data points
Junior/L3
Junior/L3 · Data Analyst
1 reports
$172,900
total / year
Base
$133,000
Stock
-
Bonus
-
$172,900
$172,900
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Phone Screen
2
Technical Interview
3
Final Interview
Common Questions
Technical/Coding
Behavioral
System Design
News & Buzz
New York State Common Retirement Fund Reduces Stake in Datadog, Inc. $DDOG - MarketBeat
Source: MarketBeat
News
·
5w ago
2 Under-the-Radar Artificial Intelligence (AI) Stocks to Watch Closely in February - Finviz
Source: Finviz
News
·
5w ago
Datadog (NASDAQ:DDOG) CTO Alexis Le-Quoc Sells 32,418 Shares - MarketBeat
Source: MarketBeat
News
·
5w ago
Datadog (DDOG) Prefers Organic Growth Over Large Acquisitions, Says Bernstein - Insider Monkey
Source: Insider Monkey
News
·
5w ago