Senior Applied Scientist (Behavior AI)

Location: Paris, France; hybrid workplace

Company

Datadog develops monitoring and security products powered by large-scale logs, events, and telemetry data.

What you will do

• Design and build custom AI models for real-time, high-throughput anomaly detection and train them at scale.
• Optimize models across mathematics, software, and hardware constraints, with a focus on GPU utilization, latency, and cost per record.
• Build training data pipelines from raw streams to production-ready datasets.
• Integrate models into production systems and plan model and system improvement roadmaps.
• Build an agentic layer to analyze, validate, and act on model outputs.
• Develop interpretability tools and maintain models, services, and infrastructure, including participation in on-call rotation.

Requirements

• BS, MS, or PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field, or equivalent experience.
• Hands-on experience training and fine-tuning models at scale and deploying them into production systems with throughput and cost constraints.
• Working knowledge of GPU architecture and experience optimizing models for real hardware constraints.
• Strong applied mathematics, software design, implementation, code simplicity, and performance skills.
• Ability to build data pipelines and production code in addition to machine learning models.
• Ability to explain complex ideas and trade-offs clearly to engineering and product partners.

Nice to have

• Experience with efficient sequence architectures, model interpretability, or large-scale streaming systems.

Culture & Benefits

• Hybrid workplace focused on collaboration and work-life harmony.
• New-hire stock equity through RSUs and an employee stock purchase plan.
• Continuous professional development, product training, and career pathing.
• Opportunities to attend and present at conferences and meetups and publish work.
• Mentor and buddy programs, inclusive culture, Community Guilds, and competitive global benefits.