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Full Time Crop Modeling Jobs (NOW HIRING)

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

... crop with precision. Today, our technology is trusted by some of the largest farms in the nation ... About the role: * Full-time, in-person role at our San Francisco or Seattle office. * As an early ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

... crop with precision. Today, our technology is trusted by some of the largest farms in the nation ... About the role: * Full-time, in-person role at our San Francisco or Seattle office. * As an early ...

Compeer Financial

Sales Associate Ag Lending

Worthington, MN · On-site

$14 - $19/hr

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... The incumbent follows a comprehensive syllabus that includes modules on Sales, Crop Insurance ...

Compeer Financial

Sales Associate Ag Lending

Worthington, MN · Hybrid

$14 - $19/hr

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... The incumbent follows a comprehensive syllabus that includes modules on Sales, Crop Insurance ...

Nutrien

Deerfieled

Deerfield, IL · On-site

Associate Job Type: Full Time Nutrien is a leading provider of crop inputs and services, and our ... Model our core value of safety by enabling a culture in which you are actively contributing to a ...

ProAg

Associate Actuary

Maple Grove, MN

Associate Actuary Supervisor Employment Type: Full Time Job Requisition ID: 2026-575 Requisition ... profitability models for reinsurance decisioning in multi-peril crop insurance and livestock ...

ProAg

Associate Actuary

Maple Grove, MN · On-site

Associate Actuary Supervisor Employment Type: Full Time Job Requisition ID: 2026-575 Requisition ... profitability models for reinsurance decisioning in multi-peril crop insurance and livestock ...

Louisiana Workforce Commission

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment ... Crop Physiology. This hire comes at a time when LSU AgCenter and LSU A&M are focusing on ...

Michigan Sugar Company

Michigan Sugar Company has an immediate full-time opportunity for an Agronomist, which will work ... Soil fertility and crop health * Scout fields throughout the growing season and recommend solutions ...

LSU AgCenter

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment ... Crop Physiology. This hire comes at a time when LSU AgCenter and LSU A&M are focusing on ...

Louisiana State University

This is a full-time 12-month, tenure-track position with 80% research and 20% teaching appointment ... Crop Physiology. This hire comes at a time when LSU AgCenter and LSU A&M are focusing on ...

Goflory

CAD Drafter

Salida, CA · On-site

$25 - $38/hr

Shift Days Full-Time/Part-Time Full-Time Location Flory Industries Description CAD Drafter Pay: $25 ... Key Responsibilities * 3D modeling in SOLIDWORKS and 2D drafting in AutoCAD * Produce fabrication ...

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All JobsCrop Modeling JobsFull Time Crop Modeling Jobs

Full Time Crop Modeling information

See salary details

$48.5K

$63.8K

$73K

How much do full time crop modeling jobs pay per year?

As of Jul 12, 2026, the average yearly pay for full time crop modeling in the United States is $63,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to excel as a Full Time Crop Modeler, and why are they important?

To thrive as a Full Time Crop Modeler, you need a strong background in agronomy, plant science, and statistical analysis, often supported by a degree in agriculture, environmental science, or a related field. Familiarity with crop modeling software (such as DSSAT or APSIM), GIS tools, and programming languages like Python or R is typically expected, along with experience in data analysis. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for interpreting results and collaborating with multidisciplinary teams. These abilities ensure accurate crop forecasts, support sustainable decision-making, and drive innovation in agricultural productivity.

What is a Full Time Crop Modeling job?

A Full Time Crop Modeling job involves using computer models and simulations to predict and analyze crop growth, yield, and responses to various environmental conditions. Professionals in this field often work with large datasets, remote sensing data, and climate models to help farmers and agricultural companies make informed decisions. These roles typically require knowledge of agronomy, data analysis, and programming. Full-time crop modelers may work in research institutions, government agencies, or private companies, contributing to sustainable agriculture and food security.

What are some common challenges faced by professionals in full-time crop modeling roles, and how can they be addressed?

Full-time crop modelers often encounter challenges such as integrating diverse data sources (e.g., weather, soil, and crop management data), keeping up with rapidly evolving modeling software, and ensuring the accuracy of model predictions. Effective communication with agronomists, data scientists, and field technicians is crucial to interpret results and refine models. Staying updated through professional development opportunities and collaborating within multidisciplinary teams can help address these challenges and lead to more robust modeling outcomes.

What is the difference between Full Time Crop Modeling vs Full Time Agricultural Data Analyst?

AspectFull Time Crop ModelingFull Time Agricultural Data Analyst
Required CredentialsBachelor's or higher in Agronomy, Agriculture, or related fields; knowledge of crop modelsBachelor's or higher in Data Science, Statistics, or Agriculture; proficiency in data analysis tools
Work EnvironmentResearch farms, labs, or offices focused on crop growth simulationOffice settings, data centers, or field sites analyzing agricultural data
Employer & Industry UsageAgri-tech companies, research institutions, government agenciesFarming operations, consulting firms, agri-tech companies

Full Time Crop Modeling focuses on developing and applying models to simulate crop growth, while Full Time Agricultural Data Analysts interpret agricultural data to inform decisions. Both roles require strong analytical skills and knowledge of agriculture, but differ in their primary focus—model development versus data analysis.

More about Full Time Crop Modeling jobs
What cities are hiring for Full Time Crop Modeling jobs? Cities with the most Full Time Crop Modeling job openings:
What are the most commonly searched types of Crop Modeling jobs? The most popular types of Crop Modeling jobs are:
What states have the most Full Time Crop Modeling jobs? States with the most job openings for Full Time Crop Modeling jobs include:
What job categories do people searching Full Time Crop Modeling jobs look for? The top searched job categories for Full Time Crop Modeling jobs are:
Full Time Crop Modeling jobs near you
Infographic showing various Full Time Crop Modeling job openings in the United States as of July 2026, with employment types broken down into 27% Locum Tenens, 61% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $63,779 per year, or $30.7 per hour.

Machine Learning Engineer

Orchard Robotics

Seattle, WA • On-site

$135K - $210K/yr

Full-time

Medical, Dental, Vision

Re-posted 18 hours ago

Job description

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before.
What We Do:
We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland.
Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision.
Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations.
The Role:
In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing.
We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.
About the role:
  • Full-time, in-person role at our San Francisco or Seattle office.
  • As an early engineer, you'll receive generous equity compensation
  • Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium
  • We move fast, and sometimes this means staying late or working weekends
  • Our team is close-knit & highly driven, you'll work directly with our CEO and entire team
  • We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed.

What you'll do:
  • Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
  • Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.
  • Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance.
  • Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.
  • Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems.
  • Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.
  • Be a generalist, supporting different parts of our software stack as needed.

What makes you a good fit:
  • 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure.
  • Proficiency in Python and experience with ML frameworks (e.g., PyTorch).
  • Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB).
  • Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience working with massive amounts of real-world training data.
  • Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.
  • Ability to work independently, learn quickly, and operate in a dynamic environment
  • Enthusiasm for taking on multiple roles and responsibilities as our company grows.

Bonus Points:
  • Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson
  • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

If you're looking to help make a positive impact in the world by building the future of farming, come join us!

Apply