Building and Optimizing Large-Scale Machine Learning Pipelines

1 week ago

Singapore beBeeDataEngineer Full time $80,000 - $120,000
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Machine Learning Data Engineer\
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As a Machine Learning Data Engineer, you will play a pivotal role in advancing our machine learning data pipelines.

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Our team works on the tech stack responsible for perceiving dynamic scenarios, tracking and classifying objects around our robo-taxi. We are looking for engineers to join our team and contribute in designing, developing, and optimizing large-scale data pipelines that support efficient end-to-end ML development.

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Key Responsibilities:\
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  • Support the creation, maintenance, and optimization of internal data, training & evaluation pipelines.\
  • Participate in design reviews and code reviews of team-owned pipelines.\
  • Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle.\
  • Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.\
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Requirements:\
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  • Bachelor Degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field.\
  • 2+ years of professional experience in software engineering.\
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience.\
  • Expertise in concurrency, parallel processing, and database systems.\
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.\
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Preferred Qualifications:\
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  • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics.\
  • Experience with deep learning frameworks such as PyTorch.\
  • Experience with distributed computing frameworks like Kubernetes (K8s) and Ray.\
  • Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience.\
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About Us:\

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. 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.

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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.

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