Senior Software Engineer (MLOps) â Annotation & Evaluation

Datadog; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading tech company in Paris is seeking a Senior Software Engineer to design systems for the automated evaluation of AI models. The role includes building infrastructure for model benchmarking and ML products. Candidates should have six years of software engineering experience, two within ML/AI, and be proficient in Python or Go. This full-time position offers equity and competitive benefits.

Prestations

New hire stock equity (RSUs)

Continuous professional development

Mentor and buddy program

Inclusive company culture

Global mental health benefits

Competitive global benefits

Qualifications

• 6 years of software engineering experience including 2 years with ML / AI products.
• Experience building backend or data infrastructure systems.
• Fluent in Python or Go with familiarity in cloud-native patterns.

Responsabilités

• Design and build systems for evaluating AI models.
• Lead development of benchmark suites and evaluation pipelines.
• Develop data pipelines to track model behavior.

Connaissances

Python

Go

AWS

Data Structures

Software Development

C / C++

.NET

Spring

React

OOP

Java

Distributed Systems

Description du poste

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

Key Skills

Spring,.NET,C / C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems

Employment Type : Full Time

Experience : years

Vacancy : 1