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Sr. Software Engineer, AI / ML Inference Platform

Dialpad
Location
Buenos Aires, Argentina
Posted
13 days ago
Department
214 - AI Engineering
What they actually want (must-haves)
  • Seven or more years of professional software engineering experience
  • Experience building or operating systems that support model training or inference
  • Proficiency in Python, Go, or another backend-oriented language
  • Hands-on experience with Linux, containers, Kubernetes, cloud infrastructure, CI/CD
  • Experience operating GPU workloads
  • Working knowledge of modern model-training workflows
Nice to have
  • Experience with ASR, speech processing, NLP, or large language models
  • Experience in GPU-based or distributed model training
  • Familiarity with model-serving runtimes like vLLM or Triton
  • Experience with model-development frameworks such as PyTorch or JAX
  • Knowledge of Kubernetes-based GPU scheduling
What the job really is

As a Senior Software Engineer at Dialpad, you will be responsible for building and enhancing the AI/ML platform that supports model training and production inference. Your role will involve designing systems for GPU training infrastructure, improving model lifecycle tooling, and ensuring efficient production services. You will collaborate with ASR and NLP scientists to translate model capabilities into scalable production designs while leading technical projects and mentoring other engineers.

Benefits
  • Competitive salary
  • Comprehensive benefits
  • Real opportunities for growth
  • Cutting-edge AI tools
  • Robust training program
  • Inclusive office environment
Things to weigh
  • No specific salary listed
  • Role focuses on implementation-heavy engineering rather than operations support
  • Candidates are encouraged to apply even if they don't meet every qualification
  • Experience with every technology listed is not required
Job score3.4/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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