サグリ株式会社

衛星データとAIを活用した農業課題解決サービスを提供する企業。アクタバ、デタバ、ニナタバの主要サービスを展開し、耕作放棄地検出や作物分類推定を実現。環境保全型農業支援やカーボンクレジット事業も手がけ、国内外の持続可能な農業に貢献している。

従業員数
-
設立年数
8年目
評価額
45億円
累計調達額
10億円
タグ
農業
AI
本社所在地
〒669-3602 ​兵庫県丹波市氷上町常楽725-1
設立
2018年06月
資本金
7億7976万円(準備金含む)
コーポレートサイト
https://sagri.tokyo/

サグリ株式会社
Senior Machine Learning Engineer/Engineering Dept.の求人

Senior Machine Learning Engineer

募集概要

# Job Description We are seeking a Senior Machine Learning Engineer to join our dynamic team and lead the development of machine learning components for our innovative MRV and decarbonization platform. This role will be crucial in integrating advanced AI, satellite remote sensing, and comprehensive carbon footprint tracking to provide a holistic solution for agricultural enterprises, government agencies, and farmers. # Key Project Focus: Development of AI-driven systems for visualizing and managing Scope 3 Category 1 emissions for large agricultural enterprises Creation of machine learning models for yield estimation and soil health analysis using satellite data Implementation of advanced analytics and machine learning models for emission prediction and reduction recommendations Integration of data from various sources including satellite imagery, IoT devices, and local soil analysis facilities # Responsibilities: Lead the research, development, and implementation of machine learning systems for the MRV platform Identify and implement the most effective algorithms, refining models to achieve peak performance Assess and analyze the efficacy of models, recommending enhancements as needed Integrate machine learning models into production environments Work on complex data processing pipelines to handle satellite imagery and IoT data Collaborate with cross-functional teams to align ML development with user needs and regulatory requirements Mentor junior team members and contribute to the growth of the machine learning team # Our Tech Stack: Languages: Python, TypeScript Machine Learning: TensorFlow, PyTorch Cloud: AWS (EC2, EKS, S3, SageMaker, etc.) Version Control: Git, GitHub Project Management: JIRA Communication Tools: Slack, Notion # Why Join Sagri? At Sagri, you'll have the opportunity to leverage cutting-edge machine learning and satellite technology to combat climate change and revolutionize sustainable agriculture. You'll work on projects with significant social impact while tackling complex technical challenges in a fast-growing startup environment. Join us in our mission to create a more sustainable and resilient agricultural ecosystem for generations to come. Sagri is an equal opportunity employer and values diversity in all forms. We encourage candidates from all backgrounds to apply and help us cultivate a more inclusive and sustainable future.

必須スキル

◆Requirements: 5+ years of work experience as a Machine Learning Engineer or Data Scientist, with at least 2 years in a leadership role Strong proficiency in Python and experience with cloud platforms (AWS) Extensive experience with machine learning frameworks and data processing technologies Experience with satellite image processing and geospatial data analysis Knowledge of carbon accounting principles and environmental reporting standards Experience tech leading cross-team engineering efforts Strong software engineering practices including debugging/profiling, version control, and system design Excellent problem-solving skills and ability to work in a fast-paced, innovative environment For Tokyo-based positions: Business-level Japanese language proficiency (both written and spoken)

歓迎スキル

◆Preferred Qualifications: Experience with or understanding of satellite-based remote sensing and agriculture Knowledge of microservices architecture and experience with database systems (RDBMS/NoSQL) Familiarity with monitoring systems, logging, operations, and SLO/SLA concepts Experience working in AgriTech or environmental sustainability sectors

求める人物像

◆Who We're Looking For: Individuals who resonate with Sagri's vision, mission, and values Passionate about solving societal issues through advanced machine learning techniques Highly motivated to learn new skills and value team communication Responsive to customer feedback and able to translate business needs into technical solutions Thrive in a fast-paced environment and embrace significant changes

応募概要

給与

応相談 <Scope of change: All assignments are subject to reassignment (including transfers to other companies).

勤務地

1600023 東京都新宿区西新宿2丁目6−1 Work Location ■Tokyo Headquarters 18F Shinjuku Sumitomo Building, Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-0218, Japan

雇用形態

正社員

勤務体系

Working hours Flextime system introduced (with core hours) Start time: 6:00 - 10:00 End time: 15:00 - 22:00 Core hours: 10:00 - 15:00 Break time: 1 hour Holidays More than 120 days off per year In principle, 2 days off per week (Saturday and Sunday), national holidays

試用期間

福利厚生

Benefits ・Transportation expenses paid ・Annual paid leave ・Paternity leave, childcare leave,Nursing care leave, family care leave, leave for work-related injury or illness, etc. Social insurance (unemployment insurance, workers' accident compensation insurance, health insurance, and employee pension insurance) No smoking indoors

更新日時:

2024/12/11 09:41


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