Senior Software Engineer â Annotation & Evaluation (AI Platform)
Senior Software Engineer â Annotation & Evaluation (AI Platform)
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Job Description
At Datadog we are building an internal AI platform that empowers our teams to train evaluate and deploy models at scale. The Annotation & Evaluation team plays a foundational role in ensuring our models are reliable safe and production-ready. We design the infrastructure and tooling for dataset labeling model benchmarking trust & safety evaluation and performance diagnostics across a range of ML and LLM applications.
From interactive labeling pipelines to automated evaluation environments our systems provide the core feedback loop that allows engineers and scientists to measure compare and continuously improve AI models. We work at the intersection of applied ML data engineering and platform infrastructure.
Were looking for a Senior Software Engineer to help us scale our evaluation systems develop benchmarking tools and drive trust & safety observability across Datadogs AI product offerings.
At Datadog we place value in our office culture - the relationships that it builds the creativity it brings to the table and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What Youll Do:
- Design and build systems that support automated evaluation of AI models including LLMs and agents using production-like telemetry and scenarios.
- Lead efforts to develop benchmark suites evaluation pipelines and model comparison tooling with built-in trust & safety metrics.
- Build and maintain integrations with labeling systems (e.g. Label Studio) and coordinate with external/internal annotation workflows.
- Collaborate closely with Applied AI and Bits AI teams to enable fast iteration reproducible experimentation and interpretable evaluations.
- Develop data pipelines that feed metrics results and alerts into our observability stack to track model behavior at scale.
- Drive best practices around safe model deployment by building systems for bias checks hallucination detection and human-in-the-loop review.
Who You Are:
- You have 6 years of software engineering experience including 2 years working with ML/AI products or platforms.
- You have experience building backend or data infrastructure systems especially for model evaluation benchmarking or labeling workflows.
- Youre comfortable working across the stack: from orchestrating large-scale data processing pipelines to building UI integrations for labeling or eval dashboards.
- You have a solid understanding of ML concepts including model performance metrics prompt evaluation and trust & safety concerns.
- Youre fluent in Python or Go and familiar with cloud-native development patterns.
- Bonus points: experience with open-source evaluation frameworks (e.g. lm-eval-harness) vector DBs or human feedback loops.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks our internal panel discussions
- Free global mental health benefits for employees and dependents age 6
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Required Experience:
Senior IC
Employment Type
Full Time
