Senior AI Research Scientist – Machine Learning & eXplainable Artificial Intelligence (XAI) (Principal level position also available)
Bosch España
Waterloo, Canada
5d ago

Job Description

  • Conduct research and engineering in eXplainable AI (XAI) and machine learning for related business domains of autonomous driving, connected vehicles, Industry 4.
  • 0, IoT, car multimedia etc.

  • Work with an international team of experts to transfer the results of advanced research to Bosch business units. When necessary, build prototypes to verify research ideas.
  • Apply research results to real-world use cases with high quality implementation. Integrate the resulting systems / software into existing Bosch platforms.
  • Actively scout for the latest technology and predict market trends by monitoring news, technical events and seminars.
  • Provide expert opinions on relevant technology areas to management team to facilitate strategic planning, R&D roadmap development, and business investment.
  • Summarize research findings in high-quality paper and / or patent submissions.
  • Qualifications

    Basic Qualifications :

  • Ph.D in Computer Science or related fields
  • 3+ years of research experience or equivalent graduate research experience for eXplainable Artificial Intelligence (XAI), machine learning and deep learning
  • 2+ years of industry experience in R&D for deep learning, eXplainable Artificial Intelligence (XAI) algorithms & systems
  • Experience with one or more programming languages for machine learning applications (e.g. Python, C++)
  • Preferred Qualifications :

  • Strong publication records in top venues of machine learning, deep learning and computer vision (e.g., NeurIPS, ICML, ICRL, CVPR, IJCV, AAAI, and TVCG)
  • Deep knowledge in machine learning and deep learning, with applications to eXplainable AI, computer vision, high-dimensional data analysis, and event sequence mining
  • Familiar with one or more main-stream machine learning platforms (e.g., TensorFlow, PyTorch, and scikit-learn)
  • Knowledge in full stack web development on both frontend (e.g., React, Vue.js, and D3.js) and backend (e.g., Flask, Django)
  • Good communication and teamwork skills
  • Strong leadership skills to drive research topics
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