Top AI & Machine Learning Jobs

Lead a team in developing AI and ML models focusing on detection and text intelligence. Collaborate with product managers and support team development for impactful AI features.

The Staff Applied Scientist will lead the evaluation strategy for AI agent integrations at Datadog, defining metrics and building datasets for quality improvements in agent performance through applied research and technical leadership.

The Distinguished Architect will provide technical leadership in AI, guide infrastructure discussions, and collaborate with stakeholders on AI observability solutions, requiring extensive experience and strategic thinking.

Design and build AI-driven developer workflows and agents within Datadog, from prototyping to production. Implement prompt engineering, evals, and integrations with developer tools and extensions. Collaborate with product teams to productionize LLM-based features (e.g., debugging agents), iterate with users, and follow LLM/agent research to improve developer productivity.

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.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

Lead multiple engineering and applied science teams to define technical vision, ship end-to-end AI/ML products, and ensure operational excellence. Drive model training, data pipelines, evaluation, deployment, and production operations while partnering with Product, hiring and developing talent, and building quality and evaluation practices for AI systems.

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.

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.

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.