1+ months

Principal Deep Learning Software Engineer

Santa Clara, CA

We are looking for a highly motivated Deep Learning Software Engineer to join Roche Sequencing Solutions, where we build Nanopore, Electronic DNA Sequencers to enable cost-efficient and scalable genomic discovery. The deep learning team is responsible for architecting and training models using terabytes of proprietary DNA sequencing data, towards the central goal of providing accurate âœbase callsâ -- i.e. translating our raw voltage signal into DNA letters. Moreover, our team is collaborating with medical researchers in developing next-generation clinical solutions using deep learning/NLP. The ideal candidate is a deep learning enthusiast, hands-on software engineer, and highly collaborative.

Our culture is very open and innovative, and due to the multidisciplinary nature of our efforts, you will be collaborating with teams from a variety of fields, including Physics, Biochemistry, Medicine and Electrical Engineering.

Responsibilities Include:

  • Contribute to our evolving deep learning pipeline and cloud infrastructure.

  • Develop/evaluate deep learning models.

  • Write efficient and well-organized software.

  • Participate in code reviews, design sessions, and technical documentation.

  • Collaborate with bioinformatics, software engineering, and data science teams.

  • Identify areas for technical improvement, prioritize requirements.

Minimum Qualifications:

  • Ph.D. or Master's degree (with 2+ years of experience) in Computer Science, Information Theory, Physics, Electrical Engineering, or a related field.

  • A solid foundation in Machine Learning, Mathematics, Statistics, with demonstrated experience, either professional or academic.

  • Experience building systems based on machine learning and/or deep learning methods.

  • Strong software engineering skills and fluency with modern software engineering practices (version control, code reviewing, etc.).

  • Good communication skills; team player.

Preferred Qualifications:

  • Experience with cloud computing environments (AWS or GCloud).

  • Experience with distributed computing, large-scale system design, big data systems.

  • Experience with deep learning frameworks: TensorFlow, Caffe, Torch, or Theano.

  • Knowledge of neural networks, CNNs, RNNs, etc.

  • Backend software engineering experience with C++ or Java.

  • Experience with signal processing; speech or acoustic modeling a plus.

  • Experience or interest in genomics and bioinformatics.

  • GPU programming experience.

Posted: 2018-11-15 Expires: 2019-03-21

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Principal Deep Learning Software Engineer

Santa Clara, CA

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