Research Engineers work on diverse projects including: developing cutting edge algorithms and prototype applications, providing software design and programming support to research projects in the domain of deep learning, robotics and self-driving cars. They are the bridge between basic research and implementation, transferring our theoretical results into real world. And by real world, we mean robots.

Our research team at Ascent focuses on machine learning including but not limited to deep neural models, reinforcement learning algorithms and biologically inspired models, with the goal of building general purpose learning algorithms for robotic systems. Our engineering team creates and maintains machine learning platforms, develops software (robotics control, 3D simulation, data analysis, internal tools, etc.) and creates our robotic platforms (self-driving cars, drones, etc.). As a Research Engineer, you'll have the best of this two worlds and you will also have expensive hardware to experiment with, including high-end Nvidia GPUs, HoloLenses and an array of sensors across all modalities.

At Ascent we are creating a passionate and engaging culture, combining the best of academia and product-led environments, providing a balance of structure and flexibility. Our approach encourages collaboration across all groups within the Research and Engineering teams, leading to creativity and innovative breakthroughs at the forefront of robotic research. As a Research Engineer, you'll have option to work on different fields and will be able to do a mix of research and engineering tasks.

Responsibilities

  • Provide software design and programming support to research projects
  • Report and present software development including status and results clearly and efficiently both internally and externally, verbally and in writing
  • Participate in research, internal R&D. Participate in writing publications and patents.
  • Implement, evaluate and report on algorithms, research papers and studies

Requirements

Minimum Qualifications

  • MS/MEng degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent
  • Expert in C/C++
  • Experienced in at least one scripting language such as Lua, Python or Matlab and a desire to learn new programming languages
  • Familiarity with software collaboration tools (git, Jira, etc.)
  • Experience with implementing numerical methods and data visualization
  • Good knowledge of algorithm design and ability to interpret research papers
  • Exceptional communication skills
  • Knowledge of modern machine learning and/or statistics tools, libraries and software

Plus points for any of the following

  • Experience with GPU Programming (CUDA, OpenCL)
  • Hands-on experience with cloud infrastructure (such as high-end Nvidia devices, Amazon AWS, Google Cloud, etc.)
  • Hands-on experience with modern machine learning software and tools (such as Tensorflow, Caffe, Kubernetes, Docker, Chainer, Ansible, Logstash, etc.)
  • Interest in neuroscience and robotics
  • Published papers or conference talks in relevant fields
  • Passion for AI
  • Contributions to open source projects
  • Japanese communication skills
  • 5+ years of experience

Benefits

Self-development support, expenses for trips to AI events and gym membership will be provided as benefits.