Senior Machine Learning Engineer

【サグリについて／About Sagri】

Sagriは、衛星データ、人工知能、グリッド技術を組み合わせ、農業と環境における重要な課題に取り組むAgriTechのスタートアップです。私たちのミッションは、農地を可視化することで価値を創造し、持続可能な農業を可能にし、二酸化炭素排出量を削減し、農家、地球、そして未来の世代にポジティブな変化をもたらすことです。農地利用調査のActaba、作物栽培調査のDetaba、肥料使用量の最適化のためのSagriなどの革新的なサービスにより、私たちは農業の管理・モニタリング方法に革命を起こしています。最先端技術を活用し、政府機関と協力することで、農家に力を与え、収益性を向上させ、より持続可能な農業エコシステムの構築に貢献しています。詳しくはWebページをご覧ください。

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.

大きく成長しているサグリでは、一緒に働く仲間を募集中です！

We’re hiring!

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

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)

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

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

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'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.