Senior Applied AI/ML Engineer - Japan
TetraScience
About this role
A Senior Applied AI/ML Engineer at a computer software company in Japan is responsible for developing and implementing artificial intelligence and machine learning solutions. The role involves applying advanced algorithms and techniques to real-world problems, collaborating with cross-functional teams, and contributing to innovative projects.
Skills
About TetraScience
tetrascience.comTetraScience is a pioneering company dedicated to transforming scientific research through its vendor-neutral, open, cloud-native platform designed specifically for the life sciences industry. The Tetra Scientific Data and AI Platform facilitates advanced lab data automation and scientific data management, empowering organizations to make data-driven decisions and accelerate their research processes. With a focus on integrating foundational building blocks for Scientific AI, TetraScience enables scientists to start their AI journey seamlessly.
Recent company news
EQS NewsTetraScience Appoints Matt Studney as Chief Customer Officer, Signaling Industry Shift Toward Platform-Based Scientific AI | Corporate
1 month ago
Techzine GlobalLaboratory transmissions: TetraScience automates scientific workflow data
Aug 19, 2025
R&D WorldTetraScience on freeing biopharma’s dark data from millions of data silos
May 5, 2025
PR Newswire UKTetraScience Launches Scientific AI Lighthouse Program with Takeda as Founding Partner
Oct 23, 2025
EQS NewsTetraScience and Bayer Expand Partnership to Advance Scientific Data Management | Corporate
Nov 20, 2025
About TetraScience
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for TetraScience.
Salary
$122k – $165k
per year