Principal Deep Learning Software Engineer II

Job description

·  Job facts

We are looking for a highly motivatedPrincipal Deep Learning Engineerto 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 “base calls” -- 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:

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Architect/develop/evaluatedeep learning models.

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Write efficient and well-organized software.

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Contribute to our evolving deep learning pipeline and cloud infrastructure.

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

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

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Identify areas for technical improvement, prioritize requirements.

Qualifications:

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Ph.D. (with 3+ years of experience) or Master's degree (with 5+ years of experience) in Computer Science, Information Theory, Physics, Electrical Engineering, or a related field; or equivalent combination of education and experience to perform at this level.

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

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

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Experience with at least one deep learning framework: TensorFlow, Caffe, Torch, or Theano withPython.

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Knowledge of neural networks, CNNs, RNNs, etc.

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

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Good verbal and written communication skills; team player.

Preferred Qualifications:

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Experience with cloud computing environments (AWS or GCloud).

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

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Backend software engineering experience with C++ or Java.

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

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Experience or interest in genomics and bioinformatics.

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GPU programming experience.

Roche is an equal opportunity employer.
Research & Development, Research & Development > Devices, Systems and Solutions

·  Who we are

At Roche, 98,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.