Resumo da vaga

Sr. Machine Learning Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What you’ll be doing (responsibilities):

  • Design and operate production ML systems for large-scale, streaming data
  • Own system reliability, performance, and observability in production environments
  • Improve the speed and reproducibility of model evaluation and iteration
  • Collaborate with researchers to productionize models and integrate them into distributed systems
  • Contribute to the evolution of existing ML systems and infrastructure to improve scalability, maintainability, and performance

What you’ll need to bring (qualifications):

  • Ability to travel to our office in Santa Barbara, CA, a few times per year
  • 5+ years of experience with Python in production environments
  • 5+ years of experience applying machine learning using libraries such as PyTorch, scikit-learn, pandas, etc.
  • Experience building and operating distributed systems in production (e.g., Kubernetes, microservices, streaming systems)
  • Experience improving systems for ML experimentation and evaluation
  • Experience with big data or streaming technologies (e.g., Spark, Flink, or similar)
  • Strong mathematical foundation (e.g., degree in Computer Science, Mathematics, Statistics, Physics, or related field)

Other things we’d love to see (nice to have):

  • Experience with JVM languages (Java, Scala, or Kotlin)
  • Experience with Javascript/Typescript

Details

  • Remote-First Work Culture
  • Healthcare (Medical, Dental, Vision, Accident)
  • Basic & Voluntary Life and AD&D
  • Flexible Spending Account (FSA)
  • 401(k) with Employer Match
  • Paid Holidays & Flexible Paid Time Off (PTO)
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FocoMachine Learning EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackJava, JavaScript, KubernetesSkills principais
Localização5 países aceitosElegibilidade

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