Perception Systems Engineer

1 day ago

Singapore beBeeMachineLearning Full time $150,000 - $300,000

Job Overview:

As a Senior Machine Learning Engineer, you will have the opportunity to work with world-class engineers and research scientists who are dedicated to making self-driving vehicles a reality and creating a positive social impact.

We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

Key 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
Requirements:
  • 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
Bonus Points:
  • 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

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