Datadog
Staff Software Engineer- ML Observability
Vaga remota de Dev Eng com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis2 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
Staff Software Engineer- ML Observability
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Drive design and implementation of LLM observability features.
- Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems
- Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit
- Develop and extend tools for tracing, evaluating, and debugging LLMs
- Influence architecture decisions and mentor engineers to build resilient, high-performance systems
- Stay close to customer pain points and use those insights to guide product and engineering priorities
- Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
- Deep understanding of distributed systems and scalable backend architectures
- Hands-on experience building and shipping LLM-powered or GenAI applications.
- Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering
- Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset
- You’re excited to shape the next generation of AI observability tools from the ground up
- Communicate clearly, think rigorously, and take pride in clean, maintainable code
- Experience with observability tools/platforms
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business .
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
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