Machine Learning Engineer

About the company
This company is now developing a product family which includes a learning and inference software stack and accelerator IP that enables deep learning with low power consumption.
To realize their mission "To create innovative devices with machine learning and make them available everywhere”, the team is developing the infrastructure library to develop deep learning models that run on the product's accelerator.
This infrastructure library includes deep learning operators that this company has patented and numerous sample models, which are used by both internal and external engineers to develop models. The team aims to increase both internal and external model productivity by enhancing the value of this infrastructure library, thus the "product" IP will be embedded in many devices all over the world and used in daily life.
The development of deep learning libraries involves a wide range of issues, including those that can be solved by pure software engineering and those that require following the latest technological developments in deep learning.
PR Aspects
Working hours: Flexible working hours (5:00-22:00, standard working hours 8h), no core hours
Telecommuting allowance 5,000 yen/month
This company develops quantized neural networks and hardware accelerators to solve power consumption issues that hinder the social implementation of deep learning. To fully utilize and expand their unique hardware, the research and development involve new network designs and neural network quantization technologies. Therefore, software engineers proficient in using deep learning are currently needed. In particular, they are looking for talented machine learning engineers who will be engaged in the development of highly practical deep learning models to enable edge AI that operates in industrial sectors where low-power devices are required, using this product.

- Development of quantized deep learning models for embedded environments that run efficiently on the company's accelerator.
- Development of high-performance and high-quality models that meet business and customer requirements in targeted industries
- Researching, understanding, and sharing the latest technological trends

※Please note that the position is only for those who are currently residing in Japan only
- Bachelor's degree in computer science, information technology, or a related field, or equivalent knowledge and experience
- Experience in model design, development, and research using deep learning frameworks
- Experience in system and product design, development, and research using deep learning
- Experience and knowledge in image processing and computer vision
- Experience in leading projects using deep learning and machine learning
- Business level communication skill in Japanese or English
Japanese Level
  • Business / Fluent
- Master's degree in computer science, information technology, or a related field, or equivalent knowledge and experience
- Experience in developing deep learning models for image processing and computer vision
- Understanding of computer architecture and experience in low-level programming
- Experience in various model compilers and runtimes (TensorRT, TensorFlow Lite, OpenVINO, ONNX Runtime, etc.)
- Experience in optimizing machine learning or deep learning models for embedded devices
- Experience in getting accepted peer-reviewed research papers on machine learning and deep learning
- Experience in machine learning competitions (e.g. Kaggle) and competitive programming (e.g. AtCoder)
Ideal candidate
- You share this company's mission and vision and are committed to developing products that solve customer issues.
- Able to lead a company-wide project from start-up to closing, with appropriate support from others, using good judgment to lead the project autonomously to a successful conclusion.
- A team player and able to communicate with others in a respectful manner
- Able to build consensus through constructive dialogue and discussion based on trust and cooperation in order to produce optimal outputs efficiently and effectively.
- Able to extract issues from facts and events, prepare documents (proposals) that clarify goals, issues, and the best means of addressing them, and explain them to relevant parties regardless of position (we emphasize documentation when sharing information in order to ensure transparency and prevent information asymmetry)
- Share our mission and vision and take on challenges toward the same future.
- Empathy with the realization of the company's Mission and Vision, interest in our technology and business, and willingness to catch up. Passionate about developing products that solve customer problems. 
Annual Expected salary (Minimum)
Annual Expected salary (Maximum)
Transporation cost coverage
  • Covered based on Company's set policy
  • Yes
  • End of Year and New Year Holiday
  • Saturday
  • Golden Week
  • National Holiday
  • Sunday
  • Worker’s Accident Compensation Insurance (労災保険)
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)
Remote Work
  • Options for remote work