Sr. / Lead Machine Learning Engineer

Company: Sweat Equity Ventures
Location: San Francisco, California, United States
Type: Full-time
Posted: 02.SEP.2021
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Summary

Sr. / Lead Machine Learning Engineer Job Description: Sweat Equity Ventures is looking for Sr. / Lead Machine Learning Engineers across ou...

Description

Sr. / Lead Machine Learning Engineer

Job Description:

Sweat Equity Ventures is looking for Sr. / Lead Machine Learning Engineers across our investment portfolio companies.


Here are some details:

In this role, you will advance a variety of models by conceptualizing, designing, implementing, and validating potential algorithmic improvements. This includes training the algorithmic models, modeling data, running offline experiments, and building algorithms to run in production systems. All the way from ideation, development, validation, operationalizing to production. To be successful in this role, you need a solid machine learning background, strong software development skills, an intent to learn continuously and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment.


What we are looking for:

  • 5+ years of software development experience
  • Expertise in machine learning spanning supervised and unsupervised learning methods
  • Writes production code to bring machine learning models, including deep learning models, efficiently into production
  • Experience in successfully applying machine learning to real-world problems
  • Strong mathematical skills with knowledge of statistical methods
  • Strong software development experience in languages such as Golang, Scala, Java, Python, C++ or C#
  • Great interpersonal skills
  • Ph.D. or MS or BS in Computer Science, or related field



Preferred:

  • Experience in Natural Language Processing, Recommendation Systems, Search, Sensors, IOT, or Computational Advertising
  • Experience using Deep Learning, Probabilistic Graphical Models, or Reinforcement Learning in real applications
  • Experience with cloud computing platforms and distributed data computing
  • Experience in optimization algorithms and numerical computation
  • Experience with Spark, TensorFlow, PyTorch or similar frameworks


  • This role is remote friendly

 
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