Resume and JobRESUME AND JOB
Datadog logo

Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!

Datadog

Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!

full-timePosted: Jan 21, 2026

Job Description

Role Overview

Join Datadog's cutting-edge Annotation & Evaluation team as a Senior Software Engineer (MLOps) in Paris or Sophia Antipolis, France. We're building an internal AI platform that powers model training, evaluation, and deployment at scale. This role sits at the intersection of applied ML, data engineering, and platform infrastructure, ensuring our AI models are reliable, safe, and production-ready across Datadog's cloud observability and security platform.

From interactive labeling pipelines to automated evaluation environments, you'll create the feedback loops that enable engineers and scientists to continuously improve LLMs and AI agents. Work with production-like telemetry, develop benchmarking tools, and drive trust & safety observability for Datadog's AI products. This is a hybrid role emphasizing our vibrant office culture for collaboration and innovation.

Key Responsibilities at Datadog

  • Design automated evaluation systems for AI models including LLMs and agents using real production telemetry and scenarios.
  • Lead benchmark suite development with evaluation pipelines and model comparison tools featuring trust & safety metrics.
  • Build labeling system integrations like Label Studio and coordinate annotation workflows across internal/external teams.
  • Collaborate with AI teams to enable fast iteration, reproducible experiments, and interpretable evaluations.
  • Develop observability data pipelines that feed model metrics, results, and alerts into Datadog's stack.
  • Drive safe deployment practices through bias detection, hallucination monitoring, and human-in-the-loop systems.
  • Scale evaluation infrastructure to support enterprise-grade AI deployments across cloud environments.
  • Implement performance diagnostics and trust metrics for continuous model improvement.
  • Champion MLOps best practices within Datadog's engineering culture.

Qualifications & Requirements

  • 6+ years software engineering experience, including 2+ years with ML/AI products or platforms.
  • Hands-on experience building backend/data infrastructure for model evaluation, benchmarking, or labeling.
  • Full-stack comfort level: from orchestrating data pipelines to building UI dashboards for evaluation.
  • Solid grasp of ML concepts – performance metrics, prompt evaluation, trust & safety challenges.
  • Fluency in Python or Go + cloud-native development patterns (Kubernetes, Docker, etc.).
  • Bonus: Open-source eval frameworks (lm-eval-harness), vector DBs, human feedback loops.

Datadog celebrates diverse backgrounds. Passion for technology and growth mindset? We encourage you to apply even if you don't check every box.

Salary & Benefits

Competitive Senior MLOps Engineer salary in Paris/Sophia Antipolis ranging €85,000-€120,000 based on experience, plus equity. Full benefits package includes:

  • New hire RSUs + ESPP stock programs
  • Global family health insurance
  • Free mental health benefits (employees + dependents 6+)
  • Professional development stipend + career pathing
  • Mentor/buddy programs + Community Guilds
  • Inclusion Talks + internal networking
  • Fitness/commuter reimbursements
  • Hybrid work flexibility with office perks

Why Join Datadog?

Datadog (NASDAQ: DDOG) powers cloud observability and security for thousands of engineering teams worldwide. As a rare profitable growth SaaS leader, we break down silos and solve cloud complexity. Join our people-first culture where engineers build for engineers.

Work on AI/ML infrastructure that impacts millions of users. Benefit from continuous learning, inclusive Guilds, and global mental health support. Our hybrid model balances collaboration with work-life harmony. Paris and Sophia Antipolis offices offer vibrant tech ecosystems and European quality of life.

Be part of #DatadogLife – solving tough problems, taking smart risks, celebrating wins. Follow @datadoghq for culture insights.

How to Apply

Ready to scale AI evaluation at Datadog? Apply now for Senior Software Engineer (MLOps) – Annotation & Evaluation in France. Submit your resume highlighting ML infrastructure experience. We'll review applications quickly and connect for next steps. Don't miss this chance to shape AI reliability at a cloud observability leader!

Datadog is an Equal Opportunity Employer committed to diversity.

Locations

  • Paris, France
  • Sophia Antipolis, France

Salary

Estimated Salary Rangehigh confidence

89,250 - 132,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • MLOps Engineeringintermediate
  • AI Model Evaluationintermediate
  • LLM Benchmarkingintermediate
  • Python Developmentintermediate
  • Go Programmingintermediate
  • Cloud-Native Architectureintermediate
  • Data Pipeline Engineeringintermediate
  • Observability Platformsintermediate
  • Trust & Safety Metricsintermediate
  • Label Studio Integrationintermediate
  • Vector Databasesintermediate
  • DevOps Automationintermediate
  • Machine Learning Infrastructureintermediate
  • Prompt Engineeringintermediate
  • Human-in-the-Loop Systemsintermediate

Required Qualifications

  • 6+ years of software engineering experience with 2+ years in ML/AI products or platforms (experience)
  • Proven experience building backend or data infrastructure for model evaluation, benchmarking, or labeling workflows (experience)
  • Full-stack proficiency from large-scale data processing pipelines to UI integrations for dashboards (experience)
  • Strong understanding of ML concepts including performance metrics, prompt evaluation, and trust & safety concerns (experience)
  • Fluency in Python or Go with cloud-native development patterns (experience)
  • Experience with open-source evaluation frameworks like lm-eval-harness is a strong plus (experience)

Responsibilities

  • Design and build automated AI model evaluation systems using production telemetry and scenarios
  • Lead development of benchmark suites, evaluation pipelines, and model comparison tooling
  • Build integrations with labeling systems like Label Studio and manage annotation workflows
  • Collaborate with Applied AI and Bits AI teams for reproducible experimentation
  • Develop data pipelines feeding metrics into Datadog's observability stack
  • Drive safe model deployment with bias checks and hallucination detection systems
  • Create trust & safety observability across Datadog's AI product offerings
  • Scale evaluation infrastructure to support LLM and agent deployments at scale
  • Implement human-in-the-loop review processes for production AI systems

Benefits

  • general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • general: Comprehensive global health insurance for employees and dependents
  • general: Free global mental health benefits for employees and dependents age 6+
  • general: Continuous professional development and product training programs
  • general: Intradepartmental mentor and buddy program for networking
  • general: Inclusive company culture with Community Guilds (employee resource groups)
  • general: Access to Inclusion Talks and internal panel discussions
  • general: Competitive commuter benefits and fitness reimbursements
  • general: Hybrid workplace with work-life harmony flexibility

Target Your Resume for "Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!" , Datadog

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!" , Datadog

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MLOpsAI EngineeringLLM EvaluationDatadog CareersFrance Tech JobsCloud ObservabilityPython DeveloperGo EngineerMachine LearningDevOpsSenior MLOps Engineer DatadogAI Model Evaluation Jobs FranceLLM Benchmarking Engineer ParisAnnotation Pipeline DeveloperTrust Safety ML EngineerDatadog AI Platform CareersMLOps Jobs Sophia AntipolisPython Go ML InfrastructureLabel Studio Integration JobsCloud Observability MLOpsAI Evaluation Framework EngineerHuman-in-the-Loop ML SystemsDatadog France Software EngineerLLM Trust Safety MetricsModel Benchmarking Pipeline JobsSenior AI Engineer ParisDatadog Hybrid MLOps RoleDev Eng

Answer 10 quick questions to check your fit for Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now! @ Datadog.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Datadog logo

Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!

Datadog

Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!

full-timePosted: Jan 21, 2026

Job Description

Role Overview

Join Datadog's cutting-edge Annotation & Evaluation team as a Senior Software Engineer (MLOps) in Paris or Sophia Antipolis, France. We're building an internal AI platform that powers model training, evaluation, and deployment at scale. This role sits at the intersection of applied ML, data engineering, and platform infrastructure, ensuring our AI models are reliable, safe, and production-ready across Datadog's cloud observability and security platform.

From interactive labeling pipelines to automated evaluation environments, you'll create the feedback loops that enable engineers and scientists to continuously improve LLMs and AI agents. Work with production-like telemetry, develop benchmarking tools, and drive trust & safety observability for Datadog's AI products. This is a hybrid role emphasizing our vibrant office culture for collaboration and innovation.

Key Responsibilities at Datadog

  • Design automated evaluation systems for AI models including LLMs and agents using real production telemetry and scenarios.
  • Lead benchmark suite development with evaluation pipelines and model comparison tools featuring trust & safety metrics.
  • Build labeling system integrations like Label Studio and coordinate annotation workflows across internal/external teams.
  • Collaborate with AI teams to enable fast iteration, reproducible experiments, and interpretable evaluations.
  • Develop observability data pipelines that feed model metrics, results, and alerts into Datadog's stack.
  • Drive safe deployment practices through bias detection, hallucination monitoring, and human-in-the-loop systems.
  • Scale evaluation infrastructure to support enterprise-grade AI deployments across cloud environments.
  • Implement performance diagnostics and trust metrics for continuous model improvement.
  • Champion MLOps best practices within Datadog's engineering culture.

Qualifications & Requirements

  • 6+ years software engineering experience, including 2+ years with ML/AI products or platforms.
  • Hands-on experience building backend/data infrastructure for model evaluation, benchmarking, or labeling.
  • Full-stack comfort level: from orchestrating data pipelines to building UI dashboards for evaluation.
  • Solid grasp of ML concepts – performance metrics, prompt evaluation, trust & safety challenges.
  • Fluency in Python or Go + cloud-native development patterns (Kubernetes, Docker, etc.).
  • Bonus: Open-source eval frameworks (lm-eval-harness), vector DBs, human feedback loops.

Datadog celebrates diverse backgrounds. Passion for technology and growth mindset? We encourage you to apply even if you don't check every box.

Salary & Benefits

Competitive Senior MLOps Engineer salary in Paris/Sophia Antipolis ranging €85,000-€120,000 based on experience, plus equity. Full benefits package includes:

  • New hire RSUs + ESPP stock programs
  • Global family health insurance
  • Free mental health benefits (employees + dependents 6+)
  • Professional development stipend + career pathing
  • Mentor/buddy programs + Community Guilds
  • Inclusion Talks + internal networking
  • Fitness/commuter reimbursements
  • Hybrid work flexibility with office perks

Why Join Datadog?

Datadog (NASDAQ: DDOG) powers cloud observability and security for thousands of engineering teams worldwide. As a rare profitable growth SaaS leader, we break down silos and solve cloud complexity. Join our people-first culture where engineers build for engineers.

Work on AI/ML infrastructure that impacts millions of users. Benefit from continuous learning, inclusive Guilds, and global mental health support. Our hybrid model balances collaboration with work-life harmony. Paris and Sophia Antipolis offices offer vibrant tech ecosystems and European quality of life.

Be part of #DatadogLife – solving tough problems, taking smart risks, celebrating wins. Follow @datadoghq for culture insights.

How to Apply

Ready to scale AI evaluation at Datadog? Apply now for Senior Software Engineer (MLOps) – Annotation & Evaluation in France. Submit your resume highlighting ML infrastructure experience. We'll review applications quickly and connect for next steps. Don't miss this chance to shape AI reliability at a cloud observability leader!

Datadog is an Equal Opportunity Employer committed to diversity.

Locations

  • Paris, France
  • Sophia Antipolis, France

Salary

Estimated Salary Rangehigh confidence

89,250 - 132,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • MLOps Engineeringintermediate
  • AI Model Evaluationintermediate
  • LLM Benchmarkingintermediate
  • Python Developmentintermediate
  • Go Programmingintermediate
  • Cloud-Native Architectureintermediate
  • Data Pipeline Engineeringintermediate
  • Observability Platformsintermediate
  • Trust & Safety Metricsintermediate
  • Label Studio Integrationintermediate
  • Vector Databasesintermediate
  • DevOps Automationintermediate
  • Machine Learning Infrastructureintermediate
  • Prompt Engineeringintermediate
  • Human-in-the-Loop Systemsintermediate

Required Qualifications

  • 6+ years of software engineering experience with 2+ years in ML/AI products or platforms (experience)
  • Proven experience building backend or data infrastructure for model evaluation, benchmarking, or labeling workflows (experience)
  • Full-stack proficiency from large-scale data processing pipelines to UI integrations for dashboards (experience)
  • Strong understanding of ML concepts including performance metrics, prompt evaluation, and trust & safety concerns (experience)
  • Fluency in Python or Go with cloud-native development patterns (experience)
  • Experience with open-source evaluation frameworks like lm-eval-harness is a strong plus (experience)

Responsibilities

  • Design and build automated AI model evaluation systems using production telemetry and scenarios
  • Lead development of benchmark suites, evaluation pipelines, and model comparison tooling
  • Build integrations with labeling systems like Label Studio and manage annotation workflows
  • Collaborate with Applied AI and Bits AI teams for reproducible experimentation
  • Develop data pipelines feeding metrics into Datadog's observability stack
  • Drive safe model deployment with bias checks and hallucination detection systems
  • Create trust & safety observability across Datadog's AI product offerings
  • Scale evaluation infrastructure to support LLM and agent deployments at scale
  • Implement human-in-the-loop review processes for production AI systems

Benefits

  • general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • general: Comprehensive global health insurance for employees and dependents
  • general: Free global mental health benefits for employees and dependents age 6+
  • general: Continuous professional development and product training programs
  • general: Intradepartmental mentor and buddy program for networking
  • general: Inclusive company culture with Community Guilds (employee resource groups)
  • general: Access to Inclusion Talks and internal panel discussions
  • general: Competitive commuter benefits and fitness reimbursements
  • general: Hybrid workplace with work-life harmony flexibility

Target Your Resume for "Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!" , Datadog

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now!" , Datadog

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MLOpsAI EngineeringLLM EvaluationDatadog CareersFrance Tech JobsCloud ObservabilityPython DeveloperGo EngineerMachine LearningDevOpsSenior MLOps Engineer DatadogAI Model Evaluation Jobs FranceLLM Benchmarking Engineer ParisAnnotation Pipeline DeveloperTrust Safety ML EngineerDatadog AI Platform CareersMLOps Jobs Sophia AntipolisPython Go ML InfrastructureLabel Studio Integration JobsCloud Observability MLOpsAI Evaluation Framework EngineerHuman-in-the-Loop ML SystemsDatadog France Software EngineerLLM Trust Safety MetricsModel Benchmarking Pipeline JobsSenior AI Engineer ParisDatadog Hybrid MLOps RoleDev Eng

Answer 10 quick questions to check your fit for Senior Software Engineer (MLOps) – Annotation & Evaluation Careers at Datadog - Paris, France | Apply Now! @ Datadog.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.