Machine Learning Engineer, AI Innovator

5 days ago


Vancouver, British Columbia, Canada Wayve Full time

We are seeking a talented Machine Learning Engineer to drive the development and productionization of cutting-edge neural networks for autonomous driving. In this role, you will collaborate closely with our Production and Research teams to develop, test, scale, and deploy efficient large-scale machine learning systems.

Key Responsibilities:
  • Design and implement end-to-end deep learning models for autonomous driving
  • Collaborate with cross-functional teams to develop, test, and deploy machine learning features in production environments
  • Develop and maintain large-scale data pipelines and curation techniques
  • Stay up-to-date with industry trends and advancements in machine learning and deep learning

The ideal candidate will have a strong background in deep learning, experience with large-scale machine learning systems, and a passion for efficiency, engineering excellence, and evaluation.

Requirements:

  • 3+ years experience shipping AI and ML features in production environments
  • Strong programming skills in Python, including experience with deep learning frameworks such as PyTorch, Numpy, Pandas
  • Solid understanding of training, validation, and testing methodologies for deep learning models
  • Experience in designing efficient large-scale machine learning systems, including data/model parallelism techniques, model optimization, and quantization
  • Commitment to excellence in data engineering, with an appreciation for quality, curation, large-scale datasets, and scaling laws

Desirable Qualifications:

  • MS or PhD in Computer Science or Engineering with specialism in Machine Learning, Robotics, Artificial Intelligence, Natural Language Processing, Computer Vision
  • Record of publication at reputable conferences and journals


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