Senior Machine Learning Engineer - Perception

Motional

Singapore

Presencial

SGD 180 000 - 240 000

Tempo integral

Há 2 dias
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Resumo da oferta

Motional Singapore seeks a senior Perception Engineer to advance autonomous driving technology by designing, training, and optimizing perception systems using camera, lidar, and radar data for reliable robotaxi operations.

You will collaborate across teams, mentor junior engineers, and push the boundaries of real-time perception on embedded hardware within a fast-growing company.

Qualificações

  • Bachelor’s degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, plus 5+ years of relevant experience
  • Master’s degree in one of the above fields (or equivalent industry experience), plus 2+ year of relevant experience
  • Ph.D. in one of the above fields, with research focused on perception or computer vision applicable to autonomous vehicles
  • Experience designing, training, and analyzing neural networks for perception applications (detection, segmentation, motion/tracking, fusion)
  • In-depth understanding of common ML and Deep Learning algorithms
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python with scientific libraries
  • Knowledge of software engineering principles and code practices
  • Excellent communication and interpersonal skills
  • Experience mentoring and leading others

Responsabilidades

  • Contribute to development and implementation of perception algorithms for object detection, tracking, segmentation
  • Connect and drive business impact through technology solutions
  • Design and implement sensor fusion to combine data from multiple sensors
  • Optimize perception algorithms for real-time performance on embedded hardware
  • Collaborate with engineers to integrate perception systems into autonomous platforms
  • Stay updated with ML/CV research and apply it to real-world problems
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Derive insights from large, diverse data sets
  • Mentor and guide junior engineers on the team

Conhecimentos

Perception systems
Machine Learning
Computer Vision
Python
Communication skills
Mentoring

Formação académica

Bachelor’s degree in ML/CS/Robotics/Math/Physics
Master’s degree in above fields (or equivalent)
Ph.D. in perception or CV (preferred)

Ferramentas

TensorFlow
PyTorch
C++
CUDA
ROS

Descrição da oferta de emprego

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world.

All Motional open positions and applications will be posted here on the official website.

Autonomy

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. 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.

What You'll Be Doing:
  • Contribute to 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
What We're Looking For:
  • Bachelor’s degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, plus 5+ years of relevant experience; or
  • Master’s degree in one of the above fields (or equivalent industry experience), plus 2+ year of relevant experience; or
  • Ph.D. in one of the above 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/instance segmentation, visual classification, motion/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 Python bindings development experience
  • 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, but not required:
  • Strong programming skills in C++ and/or CUDA programming
  • 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 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

#LI-AW1

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter , LinkedIn , Instagram and YouTube .

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine-learning, and artificial intelligence.

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