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/
新着

サグリ株式会社
Software Engineer, Machine Learningの求人

JETRO Global Carrer connect

募集概要

Sagri is a pioneering social impact startup founded in 2018 with the vision of "realizing the coexistence of humanity and the earth." We utilize satellite data and AI technology to address global food crises and climate change challenges. Our core products - Actaba, Detaba, and Sagri - offer innovative solutions in agricultural management and optimization. We are now developing an advanced MRV (Measure, Report, and Verify) and decarbonization platform for agricultural enterprises, aimed at revolutionizing sustainability practices in the agricultural sector. <Software Engineer> #Job Description: We are seeking a Software Engineer to join our dynamic team and contribute to the development of our innovative AgriTech solutions, with a focus on our new MRV and decarbonization platform. This platform will integrate 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 an AI-driven platform for visualizing and managing Scope 3 Category 1 emissions for large agricultural enterprises - Creation of mobile and web applications 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: - Develop and maintain key components of our MRV and decarbonization platform - Work on complex data processing pipelines to handle satellite imagery and IoT data - Implement machine learning models for yield estimation, soil health analysis, and emission prediction - Create intuitive user interfaces for both web and mobile applications - Ensure seamless integration with third-party systems and applications through API development - Collaborate with cross-functional teams to align product development with user needs and regulatory requirements <Machine learning Engineer> # Job Description: We are seeking a Senior Data Scientist 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 like crop classification, yield estimation, soil health analysis using satellite data Implementation of advanced analytics and machine learning models for carbon/ GHG emission prediction and reduction recommendations Integration of data from various sources including satellite imagery, IoT devices, local soil analysis facilities, Climate data sources. # 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, Keras, PyTorch Models: CNN, LSTM, Transformers, Vision Transformers Cloud: AWS (EC2, EKS, S3, SageMaker, etc.) Version Control: Git, GitHub Project Management: JIRA Communication Tools: Slack, Notion # Why Join Sagri? At Sagri, you will have the unique opportunity to shape the future of agriculture and contribute to the fight against climate change. You will be at the forefront of developing cutting-edge solutions that impact sustainability and food security. We offer: A dynamic and supportive work environment Competitive compensation package Opportunity for rapid career growth in a fast-expanding startup Chance to work with state-of-the-art technologies in AI, remote sensing, and data analytics Collaboration with a diverse, talented, and mission-driven team The satisfaction of knowing your work is making a positive difference in the world. We want to hear from you if you are passionate about leveraging technology to drive sustainable agriculture and combat climate change. Join us in our mission to create a more sustainable and resilient agricultural ecosystem for generations. Sagri is an equal-opportunity employer that values diversity in all its forms. We encourage candidates from all backgrounds to apply and help us cultivate a more inclusive and sustainable future. To apply, please submit your resume and a cover letter explaining why you're excited about this role and how your experience aligns with our requirements. #Scope of Assignment Changes Immediately after hiring: according to job listing Scope of changes: Possible reassignment to all tasks (including temporary transfers)

必須スキル

◇Software Engineer Requirements: - 3+ years of software engineering experience, preferably in AgriTech or environmental sustainability sectors - Strong proficiency in Python, TypeScript, and experience with cloud platforms (AWS) - Experience with machine learning frameworks and data processing technologies - Familiarity with satellite image processing and geospatial data analysis is a plus - Knowledge of carbon accounting principles and environmental reporting standards - 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) ◇Machine leaning engineer Requirements: ・5+ years of work experience as a Machine Learning Engineer or Data Scientist, with at least 2 years in lead /mentorship role. ・Strong proficiency in Python and experience with cloud platforms (AWS) ・Extensive experience with machine learning frameworks and data processing technologies ・Experience with satellite ( Active / Passive - S1, S2, Landsat, Modis etc.) 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 crops, 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 want to work with: Resonate with Sagri's vision, mission, and values Have the desire to solve societal issues through software engineering Value team communication and information sharing, highly motivated to learn and acquire new skills Keen on listening to customer feedback and responding earnestly Enjoy working in a fast-paced environment, embracing significant changes.

応募概要

給与

Salary Annual income 4,000,000 to 9,000,000 JPY ※Determined based on current annual income and experience. 【Monthly】Example ¥334,000 ※Includes fixed overtime allowance of ¥79,000 (40 hours of overtime pay)

勤務地

◆Location Tokyo Headquarters Shinjuku Sumitomo Building, 18th Floor, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-0218 <Nearest Stations> Toei Oedo Line, "Tochomae Station," A6 exit, directly connected Marunouchi Line, "Nishi-Shinjuku Station," Exit 2, 4-minute walk All lines, "Shinjuku Station," West Exit, 8-minute walk <Scope of Assignment Changes> Immediately after hiring: according to job listing Scope of changes: Possible reassignment to all tasks (including temporary transfers)

雇用形態

Employment Type Full-time employee

勤務体系

Working Hours Flexible time system (with core time) Starting time: 6:00 AM - 10:00 AM Ending time: 3:00 PM - 10:00 PM Core time: 10:00 AM - 3:00 PM Break time: 1 hour

試用期間

Contract Period Trial period of 3 months

福利厚生

◆Holidays Annual holidays: 120+ days Principally two days off per week (Saturday and Sunday), national holidays ◆Benefits - Transportation expenses (provided according to regulations) - Annual paid leave (10 days granted on the start date) - Maternity leave and childcare leave (available immediately upon joining) - Nursing care leave, nursing leave, work-related injury and illness leave, etc. ◆Insurance Complete social insurance (employment insurance, workers' compensation insurance, health insurance, employee pension insurance) ◆Anti-smoking Measures Non-smoking indoors

更新日時:

2025/07/03 08:18


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