Protingent

Protingent

Principal Machine Learning Engineer- Perception

Burlingame, California, USFull-time1 week agovia Lensa

Salary

-

Job type

Full-time

Location

Burlingame, California, US

Remote

No

Posted

1 week ago

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Job description

Job Description

Position Title: Principal Machine Learning Engineer- Perception

Position Description: Protingent Staffing has an exciting remote (sitting anywhere in the US) Principal Machine Learning Engineer, Direct Hire opportunity.

Job Responsibilities

  • Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
  • Connect and drive business impact through technology solutions
  • Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Derive good insight from large data sets from a variety of sources
  • Mentor and guide junior engineers on the team

Job Qualifications

  • Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
  • Strong leadership skills at executing large, complex technical initiatives
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience
  • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
  • Excellent communication and interpersonal skills
  • Experience mentoring and leading others

Preferred Qualifications

  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with launching ML products from ideation
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Experience in deploying models into real-world environments
  • Strong programming skills in C++ and/or CUDA programming

Job Details

  • Direct Hire
  • Location: Remote
  • Pay Rate Range: $199,000-$266,500/year

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.

Meet Your Recruiter

Nikhil Jhamb

Responsibilities

  • Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
  • Connect and drive business impact through technology solutions
  • Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
  • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Derive good insight from large data sets from a variety of sources
  • Mentor and guide junior engineers on the team

Qualifications

  • Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
  • Strong leadership skills at executing large, complex technical initiatives
  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience
  • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
  • Excellent communication and interpersonal skills
  • Experience mentoring and leading others

Benefits

  • Pay Rate Range: $199,000-$266,500/year

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