Senior Machine Learning Engineer

Description

Although the domestic manufacturing industry is estimated to be worth 180 trillion yen, many manufacturers and their suppliers are unable to fully demonstrate their development potential and technological capabilities because they are hindered by quotations and administrative tasks, as well as a lack of sales force and information.

CADDi’s mission is to remove those restrictions in various aspects of the industry and unleash each company’s potential to the fullest. We introduce technology to drive digital transformation in the industry so that all manufactures - from small factories and established leading manufactures to new start-ups - can thrive and add new value to the world. Will you bring your skill to create such a future with us?

Unleash the potential of manufacturing with data

At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.

Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.

Responsibilities

• Leveraging existing data assets to discover new value for the corporation
• Analysis of base data to obtain hypotheses concerning business and operational improvement
• Developing new user-facing features that combine CADDi's domain expertise, data assets, and operational excellence

Qualifications

• An understanding our mission to unleash the potential of manufacturing
• 3+ years of experience utilizing machine learning methods to solve business problems
• Experience delivering services in a production environment in the cloud (AWS, GCP, Azure, etc)
• Self-driven, and can operate both independently and also as a team member
• Able to exercise strong problem solving skills to deliver customer value
• Strong fundamental skills in linear algebra, calculus, and statistics
• Experience in application development or analysis work with Python, MATLAB, or R
• Experience with machine learning frameworks (PyTorch, Tensorflow, scikit-learn, LightGBM, etc)
• Experience using SQL for data analysis
• Experience using version control systems such as Git
• Proficiency in English

Preferred Qualifications

• Experience with GPU-based data processing (CUDA, OpenCL, etc)
• Experience working with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
• Past participation in data analysis contests such as Kaggle
• Comfortable reading research papers from major journals
• Experience utilizing numerical optimization methods (continuous, discrete, or combinatorial)

For overseas candidates

• Full Time Position In Japan Base
• Relocation support is available
• Visa support is available
• Japanese language educational support is available
• Remote working in Japan working hours (while waiting for Visa)
• We can guide you to the next step quickly if you could mention the following point in your application email.
  • Willing to relocate to Japan once visa is granted
  • Able to work full time JST 9:00-18:00～JST11:00-20:00 while waiting for visa