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

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.

#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

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)

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.

◇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)

◆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