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Senior AI/ML Engineer (Python & Scientific Computing)

Swayable · San Francisco, United States

External listingfull-timeabout 2 months ago

About The Role

Join Swayable, a company dedicated to advancing social change through data-driven storytelling. As a Senior AI/ML Engineer, you will leverage your expertise in Python, scientific computing, and machine learning to enhance our analytics engine. You will collaborate with a diverse team of engineers, data scientists, and researchers to build new features and solve complex problems. Enjoy full healthcare coverage, generous PTO, a 401K, and the opportunity to make a meaningful impact in the world.

  • Contribuer à l'avancement de l'analytique et à l'amélioration continue des outils et techniques.
  • Collaborer avec une équipe diversifiée pour développer de nouvelles fonctionnalités et résoudre des problèmes.
  • Architecturer, maintenir et optimiser des systèmes de calcul distribué et parallèle.
  • You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning
  • You have excellent problem solving skills and attention to detail
  • You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems
  • You are knowledgeable about software architecture and can design scalable, performant solutions
  • You keep up with the constantly evolving toolset for ML and AI Ops
  • You value code quality and write maintainable, testable code
  • You have 5+ years of professional experience building scientific or quantitative data-intensive software
  • You have an advanced degree (MSc or Ph.D.) in STEM
  • You have a thorough knowledge of the Linux operating system
  • You have experience with Celery, and MongoDB
  • You believe in the scientific method and use data to drive decisions
  • You can give and receive informed, actionable feedback on technical and non-technical skills
  • You are experienced at mentoring junior engineers
  • You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations

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