Datadog

Company Name: Datadog
Job Title: AI Research Engineer - Datadog AI Research (DAIR)
Job Description: **Job title:** AI Research Engineer – Datadog AI Research (DAIR) **Role Summary:** Design, build, and scale end‑to‑end AI systems that transform research concepts into production‑ready services within cloud observability and security domains. **Expectations:** - Deliver robust, scalable ML pipelines and inference engines. - Transition prototypes into reliable, customer‑facing features. - Collaborate closely with scientists, product, and engineering teams. - Maintain high code quality, reproducibility, and observability. **Key Responsibilities:** - Construct and manage datasets, training and evaluation pipelines, benchmarks, and tooling. - Implement, experiment, and tune large‑scale models (forecasting, anomaly detection, multimodal analysis, autonomous agents, code‑repair agents). - Orchestrate distributed training/ RL with Ray or equivalent frameworks; handle scaling, scheduling, and fault tolerance. - Profile models for reliability, performance, and cost; optimize GPU usage. - Create automated benchmarks and regression tests for all key research areas. - Integrate advanced AI capabilities into product pipelines and harden prototypes into production services. - Produce high‑quality code, documentation, and open‑source artifacts to support community and internal reproducibility. **Required Skills:** - Strong software engineering background, preferably in observability, SRE, or security. - Proficiency in Python; familiarity with Rust, C++, Go, or similar systems language. - Experience with distributed computing frameworks (Ray, Slurm, etc.). - Practical knowledge of ML frameworks (PyTorch, JAX), containerization, orchestration, and GPU acceleration. - Expertise in training, fine‑tuning, and inference of large foundation models. - Ability to communicate design trade‑offs to technical and non‑technical stakeholders. - Passion for open‑source and open‑science; experience establishing benchmarks and sharing artifacts. **Bonus Experience (not mandatory):** - Proven track record bridging research prototypes and production deployments. - GPU programming/optimization with CUDA. - Production data pipeline and application development. - Research publication contribution. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Engineering, or related field (equivalent experience accepted). - Certifications in distributed systems, ML engineering, or cloud platforms are advantageous.

Paris, France

Hybrid

09-03-2026

Company Name: Datadog
Job Title: Staff AI Engineer - MCP Services
Job Description: **Job Title**: Staff AI Engineer - MCP Services **Role Summary** Develop and scale agent-friendly tooling for AI workflows in metrics, logs, and incident management. Drive evaluation frameworks and next-generation agent-tool interaction models for internal and external AI systems. **Expectations** - Lead public-facing tool development for AI agent integration. - Collaborate cross-functionally to standardize tool interfaces. - Operate in ambiguous environments with autonomy and technical ownership. **Key Responsibilities** - Architect and implement evaluation pipelines for agent performance (e.g., investigations, incident triage). - Design tool surfaces for production and evaluation use across AI agents. - Analyze failures in tool outputs, refine query parsing, and optimize agent feedback. - Advise on agent orchestration frameworks (e.g., LangChain) and agentic workflows. **Required Skills** - Expertise in applied AI/ML, LLM orchestration frameworks (LangChain, LangGraph), and agent systems. - Experience building evaluation frameworks for AI systems with metrics design and instrumentation. - Proficiency in systems thinking across agent-tool-user interactions. - AI coding tool usage and validation of AI-generated output. **Required Education & Certifications** - Bachelor’s or advanced degree in Computer Science, AI, or related field. - Proven track record of impactful technical contributions in AI/product development. --- *Note: No company-specific details, location, or benefits included per instructions.*

France

Remote

12-03-2026

Company Name: Datadog
Job Title: Staff AI Engineer - Notebooks
Job Description: Job title: Staff AI Engineer – Notebooks Role Summary: Lead AI/ML initiatives for Datadog Notebooks, driving end‑to‑end design, development, and production of AI‑powered features that improve data analysis, graph generation, and automated investigation workflows. Expectations: - Deliver high‑impact AI solutions in a product‑driven environment. - Act as a technical owner and mentor, championing best practices and a culture of excellence. - Iterate quickly from prototype to scalable production with measurable success metrics. Key Responsibilities: - Own the design, development, and deployment of AI/ML features for Notebooks. - Define long‑term technical strategy and roadmap for AI workflows across Notebook products. - Lead full lifecycle: prototyping, experiments, metric definition, iteration, scaling, reliability. - Advocate user experience in feature design and prioritize end‑user impact. - Collaborate with product leaders to integrate Notebooks into broader AI workflows. - Build robust agent systems: tool integration, retrieval, planning, guardrails, prompt management, fallback, human‑in‑the‑loop. - Stay current on industry trends, adopt new technologies and best practices. Required Skills: - Deep expertise in AI/ML model development, training, fine‑tuning, evaluation, and deployment. - Strong software engineering background (large‑scale systems, production‑ready code). - Experience with ML Ops tools (CI/CD for models, monitoring, scalability solutions). - Proficiency in Python, data pipelines, and distributed computing frameworks. - Excellent communication, stakeholder collaboration, and product‑centric mindset. - Leadership in mentoring, team building, and driving technical excellence. Required Education & Certifications: - Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Engineering, or related scientific field, or equivalent experience. - Minimum 10 years of engineering experience, including technical lead roles on large‑scale AI projects.

France

Remote

Senior

12-03-2026

Company Name: Datadog
Job Title: Open Source Program Developer
Job Description: Job Title: Open Source Program Developer Role Summary Develop, maintain, and improve tooling, documentation, and policies that enable and streamline contributions to and from open source projects within the organization. Represent the company in external open source communities and identify new partner projects. Expectations * Minimum 3+ years of professional experience as a software developer, SRE, or related technical role. * Proficiency in at least one programming language (Python, JavaScript, Java, Go, C#, Rust, etc.). * Strong communication, collaboration, and empathy skills to build cross‑team relationships. * Passion for building productivity tools for engineers. * Bonus: active participation in an open source community; familiarity with open source licenses and CLA processes. Key Responsibilities 1. Build and maintain internal tools for creating, packaging, releasing, and ingesting open source software. 2. Develop automated systems to analyze and report on repository trends, metrics, and health. 3. Create developer‑focused documentation, tutorials, and training materials for contributing to open source. 4. Engage with open source communities to surface market trends, pain points, and opportunities. 5. Evaluate and onboard new open source partner projects, ensuring alignment with program goals. 6. Contribute research and content to the organization’s Open Source Hub. 7. Provide product feedback through bug reports, enhancement suggestions, documentation updates, or code contributions. Required Skills * Programming: Python, JavaScript, Java, Go, C#, Rust, or equivalent language(s). * Tooling/automation: experience building CI/CD pipelines, CLI tools, dashboards, or repository analysis utilities. * Documentation: ability to write clear technical guides, README files, and training materials. * Open source ecosystem: understanding of OSS governance, license management, and CLA workflows. * Communication: effective verbal and written skills for cross‑functional outreach and community interaction. * Problem‑solving: data analysis, metrics gathering, and tool optimization. Required Education & Certifications * Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. * No specific certifications required.

France

Remote

Junior

27-03-2026

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