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.
Examples of what success looks like in this role
- Analyze drawing images and develop technology to extract information described on the drawings.
- Construct image recognition models and annotation system
- Study the use of large-scale language models (LLM) and large-scale visual models (LVM).
- Collaborate with data science teams to bring prototype models to production
- Raise the bar for engineering excellence and delivery Interest and experience gained from this position
- Experience in challenging highly difficult technical issues with highly enthusiastic members.
- Experience working with members with expertise in a wide range of areas, including software as well as machine learning.
- Experience in solving problems by taking into account how to develop the value of technology as a business.
- The position is close to MLOps and product management members, so you will be able to expand your work depending on your will.
Job Requirements:
MUST-HAVE REQUIREMENTS
- 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
NICE-TO-HAVE REQUIREMENTS
- 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
Benefits:
- 13th month salary
- Salary review: twice a year
- 100% monthly basic salary and mandatory social insurances in 2-month probation
- Annual leaves: 12 + holidays: 3+ days
- 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
