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Scientific Python Developer (m/f) At Twenty Billion Neurons

Location: Toronto, Ontario

Job Description

We are seeking a Scientific Python Developer to collaborate with our Deep Learning experts and transform our advanced technology into production ready software. You will be working on all aspects of our software: real-time inference stack, neural-network-tooling and embedded hardware targets, so experience with fault-tolerant, highly distributed, asynchronous, real-time systems is highly desirable.

You will be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes. You must be a strong communicator who can explain what is required to build and deliver great software products. You will promote test-driven-development and other Agile best-practices for ensuring the software is resilient enough for our scientists and customers to depend upon.

Employment Term: Full-time, permanent

Experience: 2+ years

Education: BSc/MSc in an applied quantitative field

Location: Toronto

What you’ll be doing:

  • You will be participating in the development and continuous improvement of our live system / real-time-inference stack (“Tyqoon”)
  • Allowing Tyqoon to influence research (for example, helping researchers to understand how fluctuations in the frame-rate affect the inference)
  • Allowing research to influence Tyqoon (for example, making it possible for researchers to try out a feature that requires re-engineering some parts of Tqoon)
  • Facilitating the generation of customer demos and products (which besides training networks often require modifications to Tyqoon)

Requirements

  • BSc/MSc in applied quantitative field i.e. Computer Science, Mathematics, Engineering etc
  • Experience and mastery of a few programming languages: Python (required), Shell, JavaScript, and C/C++
  • Strong scientific computing background (Numpy, Scipy etc)
  • Linux knowledge: kernel-space vs. user-space, filesystems, cron-jobs, unix permissions, systemd, daemons, process-model
  • Understanding of distributed systems
  • Experience with cloud based servers and automations: AWS, ansible, Travis.ci
  • Some experience with deep learning frameworks: e.g. Tensorflow, Torch/PyTorch, Chainer, MXNet, Caffe etc..
  • Some experience with fault-tolerant, distributed, asynchronous, real-time systems: specifically using ZMQ
  • Experience with Agile Development (Dailys, Plannings, Reviews, Retrospectives) and its toolchain (e.g. Git workflow)
  • A problem-solving mind set with an agnostic approach to languages and technology
  • A sharpness of thought and proactive mindset, with a strong focus on effective output and project completion.

Benefits

  • You will be joining a company that is helping shape the future of advanced machine learning systems that understand video
  • Work in a results driven environment that offers flexible hours, autonomy and responsibility
  • As a young tech start-up, the career growth potential is limitless! Everyday will present a new opportunity to contribute your ideas, learn from ours and grow together
  • Become part of a friendly, diverse team that values trustworthiness, a pioneer spirit and encourages a healthy work-life balance
  • Have an immediate impact: your voice will be heard, your opinion will matter, and your ideas will change things
  • Work in the thriving downtown Toronto core surrounded by Canada’s hottest tech startups
  • Bi-weekly team events and monthly team socials
  • Highly competitive salary
  • Personal development allowance (coverage for conferences, continuing education courses, etc.) and hardware allowance
  • Participation in a comprehensive health and benefits plan that is effective from your first day!