Senior Machine Learning Engineer - Perception

Bonsai Robotics

$150K — $220K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering or related field.
  • Strong background in ML modeling, classical CV algorithms, and multi-view geometry.
  • Experience with training multi-head DL architectures.
  • Familiarity with all DL architectures related to 3D vision.
  • Proficiency in Pytorch, C++, and Python.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Responsibilities

  • Develop, implement, and optimize CV/ML algorithms for robotics systems.
  • Train, test, and deploy custom ML models on embedded systems.
  • Collaborate with cross-functional teams to integrate models and algorithms into products.
  • Stay up to date with latest research in computer vision and devise custom algorithms.
  • Create and maintain code documentation and unit tests.

Benefits

  • Work with cutting-edge robotics technology.
  • Opportunities for collaboration across multiple disciplines.
  • Dynamic work environment fostering innovation.
  • Potential for professional growth and skill development.
Full Job Description
About the role

We are seeking a highly skilled Sr. CV Engineer to join our team. As a CV Engineer, you will develop, implement, and optimize our custom CVML algorithms for our robotics systems. You should have a strong background in any of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multi-view geometry. The ideal candidate will be proficient in programming languages such as C++ and Python.

What you'll do

  • Develop, implement, and optimize CV/ML algorithms for robotics systems
  • Train, test and deploy custom ML models on embedded systems
  • Collaborate with cross-functional teams to integrate models and algorithms technology into our products.
  • Stay up to date with latest research in computer vision and devise custom algorithms
  • Create and maintain code documentation and unit tests


Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering or related field
  • Strong background in most of the following technologies: ML modeling (preferably object detection & segmentation), classical CV algorithms and multiview geometry
  • Experience with training multi-head DL architectures
  • Familiarity with all DL architectures related to 3D vision
  • Developing scalable training pipelines in the cloud
  • Proficient in Pytorch
  • Strong foundations in multi-view geometry
  • Proficiency in programming languages such as C++ and Python
  • Bonus: Experience with ROS 2, TensorRT
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Strong verbal and written communication skills.


The pay range for this role is:

150,000 - 220,000 USD per year (San Jose, CA)

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