Top AI & Machine Learning Jobs

Design, train, optimize, and deploy compact, high-throughput anomaly-detection models for streaming telemetry. Build training-data pipelines, integrate models into production with GPU/latency/cost constraints, create interpretability tools and agentic validation layers, and maintain/monitor systems including on-call rotation.

Lead a team of engineers and applied scientists to build cost-efficient specialized AI models and security capabilities, own end-to-end delivery from research to production, define evaluation pipelines and success criteria, collaborate with product and research, and mentor/hire to grow the team.

As an AI Research Engineer, you will work with research scientists to build infrastructure, implement models, and enhance AI capabilities in systems for production code repair and observability.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

Lead evaluation strategy for Datadog Dashboards' AI-native system: define metrics, build eval datasets and regression harnesses, measure retrieval and tool-selection, reduce cost/latency, and provide technical leadership and cross-team mentorship to ensure production-quality agent behavior at scale.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

The AI Researcher will conduct advanced research in Generative AI and Machine Learning, develop specialized models for observability and code repair, and collaborate with product teams to integrate findings into Datadog's offerings.

The People Systems Developer designs and implements AI-native workflows for HR processes, focusing on talent acquisition and performance improvement through automation and integration of systems.

Lead and grow a team of Applied Scientists to research, prototype, and productionize AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, stay hands-on technically, hire and onboard team members, and coordinate delivery with product and engineering stakeholders.

Lead GenAI/ML engineering projects within the APM team, focusing on model deployment, cross-team collaboration, and technical leadership.