We are seeking a Machine Learning Engineer to join our team. The candidate will be responsible for developing and deploying advanced machine learning models to enhance our drawing searching system. This role involves full-cycle software development, from design to deployment, and requires close collaboration with cross-functional teams.
Responsibilities:
- Train, evaluate, and deploy sophisticated machine learning models to enhance the features of our drawing searching system.
- Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate
- Collaborate across disciplines and with other ML teams to find technical solutions to solve complex challenges
- Monitor and continuously improve the deployed models.
- Solid knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science.
- Experience working with machine learning to solve business problems.
- Experience improving the accuracy of machine learning and statistical models.
- Proven track record of deploying machine learning models to production environments.
- Experience working with cloud services such as Google Cloud and AWS.
- Business communication skills in English.
* Preferred Skills:
- Experience in image recognition, OCR, and 3D analysis.
- Experience with GPU-based data processing (CUDA, OpenCL, cudf, CuPy, etc.)
- Experience developing machine learning pipelines using Vertex AI Pipeline, kubeflow, Apache Beam, Spark, etc.
- Experience in development and operation related to distributed processing.
- Business level Japanese proficiency.
* Benefit:
- 13th month salary.
- Salary review: twice a year.
- 100% monthly basic salary and mandatory social insurances in 2-month probation.
- Premium Health Insurance.
- Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance.
- Annual health check-up.
- Intensive training program (external or internal training courses, workshop etc).
- Devices: PC and display of desired specifications.
- Awards: Company awards, every 6 month MVP awards.
- Activities: Year-end-party, team building, etc.
