Senior Engineer - AI Platform
Description For Senior Engineer - AI Platform
Datadog is seeking a Senior Engineer to join their AI Platform team, which is responsible for all AI infrastructure across the company. This role offers an exciting opportunity to shape the future of AI-driven features at Datadog, working on cutting-edge technology that supports products like Bits AI, LLMObs, and various AI research initiatives. The position involves designing and developing platforms and tools that enable data scientists and engineers to conduct large-scale training and inference efficiently.
As a Senior Engineer on the AI Platform team, you'll be at the forefront of MLOps, working closely with Applied AI teams and infrastructure partners to build comprehensive systems for model experimentation, training, deployment, serving, and evaluation. The role requires a strong background in distributed systems and machine learning engineering, with opportunities to contribute to the broader MLOps community through Datadog's expertise in observability.
Datadog offers a hybrid work environment that values office culture while providing flexibility for work-life harmony. The company is a successful global SaaS business (NASDAQ: DDOG) known for combining growth with profitability. Their mission focuses on breaking down silos and solving complexity in the cloud age, enabling digital transformation and infrastructure monitoring across entire technology stacks.
The position comes with competitive benefits, including equity compensation, professional development opportunities, and comprehensive health benefits. Datadog maintains a strong commitment to diversity, inclusion, and professional growth, offering various programs such as Community Guilds, mentorship, and continuous learning opportunities. This role represents an excellent opportunity for experienced engineers passionate about AI infrastructure and distributed systems to make a significant impact at a leading technology company.
Responsibilities For Senior Engineer - AI Platform
- Lead the design, development, and deployment of scalable tools and infrastructure for data scientists
- Create a development ecosystem for rapid experimentation and deployment of algorithms
- Stay current with MLOps domain developments and document best practices
- Drive technical growth of Machine Learning across Datadog products
- Leverage Datadog's observability knowledge to contribute to MLOps community
Requirements For Senior Engineer - AI Platform
- BS/MS/PhD in Computer Science, Engineering, Machine Learning or related field or equivalent experience
- 5+ years of professional experience in building distributed systems, data science applications, and/or machine learning engineering
- Proven ability to architect, build, and operate distributed systems at high scale
- Extensive experience with projects spanning data engineering, data science, and machine learning
- Ability to ship fast and work with ambiguity
- Willingness to work on any part of the stack
Benefits For Senior Engineer - AI Platform
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development and career pathing
- Intradepartmental mentor and buddy program
- Inclusive company culture with Community Guilds
- Access to Inclusion Talks
- Free global mental health benefits for employees and dependents age 6+
- Competitive global benefits
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