ISEE

Machine Learning Engineer

ISEE

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

CaffePythonPyTorchTensorflow

About the role

  • Working on the intersection of sensing and perception algorithms.
  • Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
  • Benchmarking and maintaining developed modules.
  • Work independently to deliver high-quality code in a timely fashion.
  • Collaborate with team for testing, evaluation and review of code.

Requirements

  • Degree in Computer Science, Electrical Engineering, Robotics or related field.
  • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
  • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
  • Strong Python and/or C++ skills.
  • Passionate about self-driving vehicles and real-world robotic solutions.
  • Strong presentation and communication skills.
  • Preferred
  • - Publication record in top-tier computer vision or machine learning conferences.
  • - 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
  • - Robotics/autonomous experience is a plus.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
computer vision algorithmssensor calibrationlocalizationmappingfusiontrackingpattern recognitiondeep learning modelsPythonC++
Soft Skills
independent workhigh-quality code deliverycollaborationtestingevaluationcode reviewpresentation skillscommunication skills