Datadog's AI Platforms team is looking for a Staff Software Engineer with expertise in ML infrastructure and evaluation to build the foundation for AI and ML development across the company, enabling teams to prototype, evaluate, deploy, and monitor models at scale.
Requirements
- Deep experience building ML infrastructure or ML platforms that support training, evaluation, and deployment at scale.
- Strong understanding of machine learning principles and familiarity with model evaluation workflows and challenges.
- Experience building and operating production-grade systems using modern cloud infrastructure (e.g., Kubernetes, GCP, AWS, etc.).
- 10+ years of relevant engineering experience, including backend systems and platform-level infrastructure.
Responsibilities
- Act as a technical leader on the AI Platforms team, focused on building robust ML infrastructure and evaluation systems.
- Design and implement scalable, reproducible, and easy-to-use evaluation frameworks that will power the AI platform
- Build backend systems to power large-scale model experimentation leveraging Ray.io and Datadog in house tooling
- Develop tooling and infrastructure to support dataset versioning, model evaluation, and test set management across multiple use cases.
- Collaborate closely with AI researchers and application teams to enable rapid iteration and rigorous evaluation.
- Guide technical direction across multiple projects, ensuring scalability, reliability, and long-term maintainability.
- Mentor other engineers, contribute to design reviews, and help shape the culture of the AI Platforms team.
Other
- You have a BS/MS/PhD in Computer Science or a related field, or equivalent experience.
- Proven ability to drive cross-functional initiatives and operate in high-ambiguity environments.
- You're product-minded, collaborative, and thrive in fast-paced environments.
- At Datadog, we place value in ur office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
