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PlusAI

Posted 16 days ago

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Machine Learning Engineer Intern

Santa ClaraOn-siteInternship

AI Summary

Engineer Intern focusing on multi-modal feature fusion, event classification, and processing time-series data for autonomous driving pipelines.

About this role

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

We’re seeking an enthusiastic and driven Engineer Intern to join our team. The potential input: stream of camera image and/or proto based runtime module output (object and lane detection, predictions, planning decision, control command)
The potential output: labels of driving events, like lane change, merge, hard brake
hopefully, the labels would help in model training and evaluation, and offline data analysis and metric

Responsibilities:

  • Multi-Modal Feature Fusion: Develop a pipeline to ingest and synchronize disparate data streams, including raw camera frames and structured proto modules (Perception, Planning, Control).
  • Event Classifier Development: Design and train temporal models (e.g., Video Transformers, LSTMs, or 1D-CNNs) to recognize and categorize discrete driving behaviors.
  • Required Skills:

    Must-Haves
  • Experience with temporal data (Time-series analysis or Video Understanding).
  • Proficiency in Python and libraries like Pandas, NumPy, and PyArrow/Parquet for handling large-scale protobuf data.
  • Strong foundation in classification and supervised learning.


  • Preferred Skills:

    Nice-to-Haves
  • Experience with distributed processing (e.g., Spark or Ray).
    Understanding of autonomous driving problems
  • Skills

    1D-CNNsData PipelinesDistributed ProcessingLSTMsNumPyPandasParquetProtobufPyArrowPythonRaySparkTemporal ModelsTime-series AnalysisVideo Understanding

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