Senior Software Engineer - ML Platform & Experience

Posted:
12/16/2024, 12:16:18 AM

Location(s):
Valbonne, Provence-Alpes-Côte d'Azur, France ⋅ Paris, Ile-de-France, France ⋅ Ile-de-France, France ⋅ Provence-Alpes-Côte d'Azur, France

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics ⋅ Software Engineering

Workplace Type:
Hybrid

The Data Science organization designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis and on streaming data across Datadog products such as anomaly detectionerror outliers and faulty deployment analysis.

We’re looking for a Senior Engineer to help us design and develop the tooling and infrastructure platform necessary for the next generation of data science products at scale, across a wide range of data science & machine learning problems including LLMs.You’ll work closely with teams in the Data Science 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+
  • 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.


About 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.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

Datadog

Website: https://www.datadoghq.com/

Headquarter Location: New York, New York, United States

Employee Count: 1001-5000

Year Founded: 2010

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Analytics ⋅ Cloud Computing ⋅ Cloud Data Services ⋅ Cloud Infrastructure ⋅ Data Management ⋅ DevOps ⋅ Productivity Tools ⋅ SaaS