AI Engineer

Job Summary

Conditions: Japan, Tokyo
Partial remote
Apply from Japan only
Language Requirements: English: Business
Japanese: Not required
Key skills: Python
PyTorch

Job Description

Job Role

Machine Learning Engineer

Job Description

| Introduction about EARTHBRAIN EARTHBRAIN is a strategic startup that spun out of Komatsu Ltd. Komatsu is the world's second-largest multinational construction equipment manufacturer and is responsible for the development, marketing, and distribution of Smart Construction. We are excited to bring Smart Construction solutions and services to the North American market. Smart Construction has already deployed at over 15,000 job sites across Japan and is used in over 27 countries around the world. EARTHBRAIN’s mission is to digitally transform the job site using Smart Construction technology to streamline the construction process through automation and provide earthmoving contractors increased collaboration, efficiency, productivity, and safety. | What we do: Using Smart Construction, we’re able to extract previously untapped value with our revolutionary digital transformation solutions and services. It's time to start working smarter, not harder. ・We create a digital twin to visualize the jobsite; ・We run multiple simulations to create the optimal workplan; ・We guide and/or control equipment and resources based on the digital workplan; ・We monitor jobsite progress remotely and digitally; ・We continue to further optimize the workplan based on jobsite progress and remove future issue; | Introduction about the role To support its mission, EARTHBRAIN aims to expand its capabilities in the field of Artificial Intelligence, leveraging the most recent advancements in the field to further improve its products and services. You will be joining EARTHBRAIN’s rapidly growing AI division, part of the Data Value Creation Group. The group analyzes EARTHBRAIN’s challenges, identifies novel, innovative methods to leverage data to tackle them. The team conducts research, development and implementation both in-house as well as with our external partners, pushing the boundaries of what is possible in the construction industry.

Benefits

・Health Insurance ・Employment insurance ・Workers' Accident Compensation Insurance ・Employees' pension ・Commuting allowance (paid in accordance with company regulations) ・Overtime allowance

Required skills & Experience

Basic qualifications

・Master’s in Deep Learning, Machine Learning, Data Science, Artificial Intelligence, Computer Science or similar field, and at least 2 years experience building Machine Learning Models OR ・PhD in one of the above fields with relevant thesis or publications. ・Thorough understanding of modern ML technologies, models, methods and its fundamentals. ・Good grasp of data analytics. ・Experience working with Python, Pytorch and related modern popular ML libraries. ・Ability to understand research papers and translate insights into action. ・Technical communication skills in English.

Preferred qualifications

・Industrial or Academic experience working with: Point Clouds/NERFs, Diffusion Models, Transformers, (Deep) Reinforcement Learning, Evolutionary Algorithms ・Experience designing, building, or optimizing models related to the above ・Experience working with AWS, GCS, Azure or other cloud services. ・Experience packaging and deploying ML models. ・Experience with civil engineering

Ideal applicants

・Interested in solving social issues. ・Intellectually curious and eager to learn new technologies. ・Interested in undertaking grand challenges, able to change the concept of the industry itself. ・Interested in being deeply involved in applying AI to create value in Japan and the wider world. ・Internationally oriented ・Interested in Japan and living in/around Tokyo

Job Details

Employment type: Full-time
Salary details: Negotiable depending on ability and experience
Location: Japan, Tokyo
Apply from: Japan only
Remote work: Partial remote
Working hours: Discretionary Labor System
*Under the discretionary labor system (planning work type/specialized work type), employees are free to come and go as they please and are considered to have worked 10 hours.

*We have a hybrid work schedule that includes both in-office and remote work, and as a general rule, we require our employees to come to work two days a week.
Others: Trial period: 2 months (working conditions during trial period: no change)

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