About Arva Intelligence Corp
Arva Intelligence is a technology-driven company that uses machine learning to help farmers improve their economics and soil health. Our mission is to provide proof of efficacy, increased yield, managed risk, and quantified sustainability to the agricultural industry. We work with seed, fertilizer, and biological companies to develop better products faster.
General Position Description
The Research Associate will be responsible for supporting exploratory projects in the Research and Innovation department. The candidate will be responsible for utilizing deep learning and machine learning models to support research on soil health and sustainable agriculture. The models developed will be applied to provide local farm level insights and scaled to regional, continental, and global levels. The candidate will also provide guidance and support to researchers, product managers, and other stakeholders in the organization to ensure that the findings are accurate, reliable, and actionable.
Primary Job Responsibilities
Only applicants currently eligible to work in the United States will be considered for this position.
The Pay Range For This Role Is
75,000 - 105,000 USD per year(Remote - United States)
Arva Intelligence is a technology-driven company that uses machine learning to help farmers improve their economics and soil health. Our mission is to provide proof of efficacy, increased yield, managed risk, and quantified sustainability to the agricultural industry. We work with seed, fertilizer, and biological companies to develop better products faster.
General Position Description
The Research Associate will be responsible for supporting exploratory projects in the Research and Innovation department. The candidate will be responsible for utilizing deep learning and machine learning models to support research on soil health and sustainable agriculture. The models developed will be applied to provide local farm level insights and scaled to regional, continental, and global levels. The candidate will also provide guidance and support to researchers, product managers, and other stakeholders in the organization to ensure that the findings are accurate, reliable, and actionable.
Primary Job Responsibilities
- Leverage multiple data sources in an inference and prediction framework. Data sources including remote sensing, soil sampling information, climate, and atmospheric data, among others.
- Perform statistical validation, cross-validation, hyperparameter tuning, and model validation.
- Utilize regression approaches including spatial autoregressive modeling (SAR), random forest machine learning, and deep learning models to predict impacts of managing sustainability/regenerative agricultural practices.
- Automate complex data processes and manual input to streamline analysis and reporting by developing and using data pipelines using deep/machine learning.
- Work closely with various departments to ensure the appropriate methodologies are applied, results are interpreted correctly, and guidelines are followed.
- Prepare and present findings on soil health and sustainability analysis.
- Possible geospatial analysis specifically related to identifying farms, fields and pastures and eliminating non-relevant data.
- A Bachelor’s of Science degree (or higher) in Data Science, Engineering, or Applied Mathematics and 2 years practical experience in Environmental Science, Sustainability, or a related field OR PhD in Environmental Science, Data Science, Engineering, Physics, Applied Mathematics (or related field) .
- Proven experience in applying deep learning algorithms to real world problems. Experience with regression, inference, and generative models preferred.
- Expertise in statistical analysis and building/manipulating data pipelines.
- Experience with Python for modeling, programming, and data analysis.
- Preferred knowledge of deep learning and/or machine learning
- Preferred knowledge of Google Cloud computing infrastructure.
- Ability to work collaboratively in a team environment, with strong communication and presentation skills.
Only applicants currently eligible to work in the United States will be considered for this position.
The Pay Range For This Role Is
75,000 - 105,000 USD per year(Remote - United States)