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Helm.ai
Posted 25 days agoVerified live 1d ago

Machine Learning Engineer

Brief overview

Remote
MastersOr in progress
$150k–$250k/yrStated range
5+ yrsMinimum
PythonComputer VisionDeep LearningResearch Paper Implementation

About the company

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Helm.ai develops AI software for driver assistance systems, autonomous driving, and robotics.

Job description

Summary

Helm.ai is hiring a Machine Learning Engineer to support research operations involving neural networks and machine learning experiments. The role collaborates with researchers to characterize model quality and failure modes, coordinate experiments, analyze results, and communicate technical findings through reports.

Responsibilities

  • Characterize neural network quality, failure modes, and edge cases based on research data
  • Maintain awareness of current trends in relevant areas of research and technology
  • Coordinate with researchers and accurately convey status of experiments
  • Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
  • Review experimental results and suggest theoretical or process improvements for future iterations
  • Write technical reports indicating qualitative and quantitative results to external parties

Skills

  • A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
  • Proficiency in Python
  • Proven ability to thrive in fast-paced environment
  • Ability to communicate complex technical concepts to colleagues and a variety of audience
  • Introspection, thoughtfulness, and detail-orientation
  • Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field
  • Experience reading research papers and implementing the techniques therein
  • Computer vision and deep learning experience

Qualifications

Must Haves

  • A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
  • Proficiency in Python
  • Proven ability to thrive in fast-paced environment
  • Ability to communicate complex technical concepts to colleagues and a variety of audience
  • Introspection, thoughtfulness, and detail-orientation

Nice to Haves

  • Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field
  • Experience reading research papers and implementing the techniques therein
  • Computer vision and deep learning experience

Benefits

  • Competitive health insurance options
  • 401K plan management
  • Free lunch and fully-stocked kitchen in our South Bay office
  • Monthly wellness stipend
  • Office set up allowance
  • Company retreats
  • The opportunity to work on one of the most interesting, impactful problems of the decade
  • Compensation for the position may include additional compensation in the form of equity or a bonus/commission.

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