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DEEP LEARNING ENGINEER

We are seeking an experienced Deep Learning Data Scientist to join our team. In this role you will be a core member of the R&D team enabling state-of-the-art AI workloads on Wavelet systems. You will collaborate with software development & application engineering teams, utilizing your strong mathematical foundation and in-depth knowledge of AI frameworks.

LOCATION

Singapore

EMPLOYMENY TYPE

Permanent

What You’ll Do

  • You will be expected to drive the design and development of deep learning technologies for applications such as segmentation, anomaly detection, image processing, natural language understanding, time series analysis, etc.

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  • Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.

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  • Design and implement networks to provide automation of industrial tasks.

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  • Demonstrate algorithms meet accuracy requirements on the general subject population through statistical analyses and error estimation.

  • Gather and analyze data, devise innovative data science solutions and build prototypes to enable the development of high-performance algorithms in scalable, product-ready code.

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  • Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate

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  • Stay current on published state-of-the-art algorithms and competing technologies.

Who You are

  • An advanced degree in a quantitative field, or many years of experience working on similar problems in the industry

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  • Deep understanding of modern computer vision techniques, deep learning, and machine learning

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  • Experience developing and deploying machine learning models in production

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  • Proficient in Python, C++, Scala, or Java

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  • Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet\

  • Experience with Airflow, Spark, SQL

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  • Experience in on-device inference for machine learning models is a plus

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  • Take pride in taking ownership and driving projects to have a business impact

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  • Thrive in a fast-moving collaborative environment

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