Outrider is hiring a
Principal Engineer, Remote - Mexico, Uruguay

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Principal Engineer

🏢 Outrider

💵 ~$190k
📍Mexico, Uruguay

Summary

Outrider is hiring a Principal ML/Deep Learning Engineer to design neural networks for their autonomous vehicle system. The position requires a bachelor or master's degree in CS, three years of engineering experience in deep learning teams, and proficiency in modern DL and python-related frameworks. The role offers competitive salary, remote work, flexible schedule, annual career development stipend, home office allowance, and business travel to Denver, Colorado. Outrider values diversity and is committed to an inclusive work environment.

Requirements

  • Bachelor/Master in CS or equivalent
  • Three years of engineering experience in deep learning oriented teams
  • Mastering modern DL and python-related frameworks: Pytorch/Tensor Flow, Numpy, Scikit
  • Familiar with respect to DL state of the art, practices and recent research
  • Able to design ML models from scratch: problem definition, data, model bring-up, debugging, evaluation and deployment
  • Excellent communication skills for leadership and stakeholders

Responsibilities

  • Devise solutions and design neural networks for perception that run online on our autonomous vehicle
  • Provide technical and theoretical guidance to the deep learning team
  • Communicate and distill evaluations and results to the leadership
  • Help to design/improve our key deep learning tools: data, evaluation, compute
  • Lead cross functional efforts with respect to interfacing with the other autonomy consumers and upstream/downstream components

Benefits

  • Competitive Salary Package
  • Ownership of projects from day one, highly collaborative teams and a dynamic work environment
  • 100% Remote work set up, flexible work schedule (Flex time - off policy)
  • Annual career development stipend to support and encourage your career growth
  • Allowance for home office set up
  • Business traveling in our headquarters in Denver, Colorado (3-4 times/year) to stay connected with the team

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