Sagri Inc. 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. #SoftwareEngineer 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 #Senior Data Scientist About Sagri: Sagri Inc. is a pioneering social impact **Climate Tech Startup** focused on Agriculture 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 ( Land Use Categorization) , Detaba ( Crop Mapping) and related services - 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. 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: TypeScript, Python - Libraries/Frameworks: React.js, Next.js - Database: PostgreSQL (PostGIS) - Infrastructure: AWS (EC2, EKS, S3, RDS, etc.) - Version Control: Git, GitHub - Communication Tools: Slack, Notion,

#SoftwareEngineer Required Skills and Experience: - 3+ years of software development experience - Hands-on experience with AWS cloud services - Experience developing in Python, TypeScript - Experience with Infrastructure as Code (IaC) (AWS CDK, Terraform, etc.) - Knowledge and experience with container technologies (Docker, Kubernetes) - Experience with database design and management - Experience building CI/CD pipelines Preferred Skills and Experience: - Experience with large-scale data processing - Knowledge of machine learning and image processing algorithms - Knowledge of security best practices and experience implementing them - For Tokyo-based positions: Business-level Japanese language proficiency (both written and spoken) #Senior Data Scientist Required Skills and Experience: - 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) 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

#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 #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.