Machine Learning Swe Lead - Geospatial, Bellwether

X9

Mountain View, US
Base: $197,000 - $311,000; bonus/equity: bonus + e...
On-site
Machine learning development pipeline
Ml frameworks (pytorch, tensorflow)
Python libraries (numpy, scipy, pandas)
X, the Moonshot Factory, is seeking a hands-on Machine Learning Swe Lead for its Bellwether team in Mountain View, US, focusing on leveraging machine learning and geospatial data to address severe weather challenges. The ideal candidate will have extensive experience in ML development, cloud platforms, and a collaborative mindset to thrive in a fast-paced environment

Job Summary

  • You will be a hands-on Machine Learning engineer, contributing to all aspects of the project’s development and deployment of applications.
  • Our team – Bellwether – operates at the intersection of machine learning, geospatial data, and pressing issues with enterprise customers, governments, and more.
  • We are looking for passionate and driven people, who are comfortable moving between creative, big-picture thinking and specifics of how to execute.

Matching Summary

Match Score: 85

X, the Moonshot Factory, is seeking a hands-on Machine Learning Swe Lead for its Bellwether team in Mountain View, US, focusing on leveraging machine learning and geospatial data to address severe weather challenges. The ideal candidate will have extensive experience in ML development, cloud platforms, and a collaborative mindset to thrive in a fast-paced environment.

Salary

Base: $197,000 - $311,000; Bonus/Equity: bonus + equity; Benefits: benefits

Skills & Requirements

Must-have

  • Machine learning development pipeline
  • ML frameworks (PyTorch, TensorFlow)
  • Python libraries (NumPy, SciPy, Pandas)
  • Software design patterns
  • Google Cloud Platform infrastructure
  • Agile development principles

Nice-to-have

  • Production-level geospatial industry experience
  • Scaling ML applications to production
  • Interfacing with customers

Key Requirements

  • BS/MS in Computer Science or equivalent practical experience
  • 7 years experience with ML pipeline
  • Expertise in ML frameworks
  • Python proficiency
  • Experience with early stage to production projects
  • Experience with Git, TensorFlow, Apache Beam/Dataflow, GCE

Work Rights

Not specified

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