Research Scientist

3 weeks ago

Boston MA, United States Datadog Full time

Senior Applied Scientist - Observability Data Platform
The Observability Data Platform (ODP) powers the core of Datadogs telemetry systems, handling exabytes of multimodal observability data. As AI agents become first-class consumers of telemetry, ODP is evolving to meet their demands scaling with explosive data growth, exposing new query mechanisms, rethinking how telemetry is stored, transformed, and served, and enforcing guardrails that ensure security and reliability.
Our team is building an intelligent control plane for production systems, moving beyond passive monitoring to enable AI agents to safely and effectively take action in live environments. We are looking for an experienced Senior Applied Scientist with a background spanning systems engineering, AI, and formal reasoning. You will join the team behind Datadogs most ambitious projects: evolving observability infrastructure for stochastic, self-improving systems.
Collaborate with AI researchers and platform engineers to design experimentation loops and verifiers that guide LLM outputs using runtime metrics and formal models.
Explore emerging paradigms like AI compilers, programming after code, and runtime-aware prompt engineering to inform Datadogs infrastructure and product design.
Help define the direction of BitsEvolve Datadogs optimization agent that uses LLMs and evolutionary search to discover code improvements, optimize GPU kernels, and tune configurations to improve performance.
Partner with product teams and platform stakeholders to ensure scientific advances translate into measurable improvements in cost, performance, and observability depth.
You have a BS/MS/PhD in a scientific field or equivalent experience.
You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment.
You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code.
You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design.
You have experience applying search, planning, or learning techniques to solve real-world optimization problems.
You thrive in ambiguity, enjoy reading papers and building prototypes, and want to help shape the future of infrastructure in the AI era.
You enjoy collaborating across research, engineering, and product to bring scientific insights to practical outcomes.
Get to build tools for software engineers, just like yourself, and use the tools we build to accelerate development.
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadogs Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
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