Senior Research Engineer, Machine Learning Infrastructure


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Job Summary

$9,333 - $15,000 SGD / Monthly EST

Job Type


Years of Experience
At least 2 years

Tech Stacks

Job Description

Motional's Machine Learning team has produced groundbreaking advancements in the autonomous vehicle industry including nuPlan (https://arxiv.org/abs/2106.11810), nuScenes (https://www.nuscenes.org), PointPillars (https://arxiv.org/abs/1812.05784), and PointPainting (http://arxiv.org/abs/1911.10150)

What You’ll Be Doing:
  • Contribute to the state-of-the-art Offline Perception system
  • Research and solve the challenging problem of large scale training for machine learning models with extremely large capacity
  • Create an automated pipeline to train, evaluate and deploy machine learning models in the cloud
  • Speed up the inference of our Offline Perception system using TorchScript and TensorRT
  • Conduct deep learning experiments, write tech reports, and file patents

What We’re Looking For :
  • Masters or PhD in Computer Science or a related field with 2+ years of relevant experience
  • Advanced knowledge of Computer Vision and Machine Learning
  • Experience of large scale distributed training for deep learning models, including: object classification, object detection, semantic segmentation, etc.
  • Good knowledge of software engineering principles including software design, source control management, build processes, code reviews and testing methods
  • Experience with PyTorch, TensorFlow or other deep learning frameworks
  • Passion about self-driving technology and its potential impact on the world
  • Strong communication and interpersonal skills

Bonus points:
  • Experience with 3D object detection and lidar data
  • Experience with high performance libraries such as FairScale or DeepSpeed
  • Proven track record of publications in relevant conferences (e.g. CVPR, ICML, NeurIPS, ICCV, ICLR)
  • Leadership and mentoring experience

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