Senior Engineer - AI Platform

Datadog; Paris; Hybride; USD 80 000 - 150 000; Plein temps

Résumé du poste

An innovative firm is seeking a Senior Engineer to design and develop cutting-edge tools for AI infrastructure. This role involves collaborating with data scientists to create scalable systems that enhance model training and deployment. You will lead the charge in building a robust ecosystem that supports rapid algorithm experimentation. Join a dynamic team where your contributions will drive the future of AI-driven features across products. Embrace a culture that values creativity, collaboration, and professional growth in a hybrid work environment, ensuring a harmonious work-life balance.

Prestations

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Continuous professional development

Intradepartmental mentor program

Inclusive company culture

Access to Inclusion Talks

Global mental health benefits

Qualifications

• 5+ years of experience in building distributed systems and data science applications.
• Proven ability to architect and operate distributed systems at scale.

Responsabilités

• Lead the design and deployment of scalable tools for data scientists.
• Create a development ecosystem for rapid experimentation and deployment.

Connaissances

Distributed Systems

Data Science Applications

Machine Learning Engineering

Software Development

MLOps

Formation

BS in Computer Science

MS in Engineering

PhD in Machine Learning

Outils

CI/CD Tools

Model Deployment Tools

Orchestration Tools

Description du poste

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs, and all our AI research.

We’re looking for a Senior Engineer to help us design and develop the platform and tooling for the next generation of Datadog’s products, making it easy to incorporate AI-driven features across Datadog with minimal friction.

You’ll work closely with teams in the Applied AI org and partner with Datadog infrastructure & tooling teams to build out systems from the ground up to manage model experimentation, training, deployment, serving, and evaluation.

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 You’ll Do:

• Lead the design, development, and deployment of scalable tools and infrastructure to support the efforts of our data scientists (model training & serving infra, CI/CD, orchestration, deployment,...)
• Create a development ecosystem that enables rapid experimentation and deployment of algorithms
• Stay on the cutting edge of development in the MLOps domain and document best practices to share across teams
• Drive the technical growth of Machine Learning as a distributed capability at Datadog, spanning all product areas, as well as leverage DD’s knowledge in observability to contribute back to the MLOps community

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or a related scientific field or equivalent experience
• You are a software engineer at heart with 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
• You have proven ability to architect, build, and operate distributed systems to solve problems at a high scale
• You have extensive experience executing projects that span data engineering, data science, and machine learning
• You ship fast, route around blockers, and are comfortable working with ambiguity
• You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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+

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.