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Motional

All-electric driverless robotaxi service provider

Senior Machine Learning Engineer - Perception

Computer VisionConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, plus 5+ years of relevant experience; or a master's degree in one of these fields (or equivalent industry experience), plus 2+ years of relevant experience; or a Ph.D. in one of these fields, with research focused on perception or computer vision applicable to autonomous vehicles.
  • Experience designing, training, and analyzing neural networks for one or more perception applications, including object detection, semantic or instance segmentation, visual classification, motion or gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception.
  • In-depth understanding of common machine learning and deep learning algorithms.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Fluency in Python, including standard scientific computing libraries, and experience developing Python bindings.
  • Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods.
  • Experience mentoring and leading others.

Responsibilities

  • Contribute to developing and implementing 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 that 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 engineers and other teams to integrate perception systems into larger autonomous systems.
  • Stay up to date with machine learning and computer vision research and apply advancements to real-world problems.
  • Productionize and deploy solutions onto autonomous vehicle fleets.
  • Derive insights from large datasets from a variety of sources.
  • Mentor and guide junior engineers on the team.

Desired Qualifications

  • Strong programming skills in C++ and/or CUDA programming.
  • A proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
  • Experience launching machine learning products from ideation.
  • A proven track record of publications in relevant conferences, including CVPR, ICML, NeurIPS, ICCV, and ICL.
  • Experience deploying models into real-world environments.

About the Company

Motional

All-electric driverless robotaxi service provider

Motional builds fully driverless, all-electric robotaxis for urban transportation. Its vehicles operate within ride-hailing and delivery networks by partnering with these services to provide autonomous mobility options. The cars use advanced sensors and software to navigate city streets safely, while a real-time Command Center monitors every robotaxi, allowing human agents to supervise operations, offer remote assistance, and ensure passenger safety. Motional differentiates itself through continuous real-time oversight, a scalable B2B model, and a focus on integrating autonomous vehicles into existing mobility networks rather than selling to individual consumers. The company aims to make driverless transportation safe, reliable, and accessible at scale, reducing costs and increasing efficiency for partners and riders alike.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$927.2M
Headquarters
Boston, MA
Founded
2020

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