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

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.

◆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

◆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