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Crop Modeling Jobs in California (NOW HIRING)

Software Engineer

Madera, CA

$38.46 - $50.48/hr

... crop nutrition has long been treated as a commodity, applied in batches, evaluated after the fact, and disconnected from real time conditions. That model creates unnecessary risk and leaves value on ...

To provide specialized routine repetitive care and maintenance of animals, crops, equipment, and ... MORE INFORMATION ON THE SCS COMPETENCY MODEL CAN BE FOUNDHERE. EXAMPLES OF WORK: EXAMPLES BELOW ARE ...

To provide specialized routine repetitive care and maintenance of animals, crops, equipment, and ... MORE INFORMATION ON THE SCS COMPETENCY MODEL CAN BE FOUNDHERE. EXAMPLES OF WORK: EXAMPLES BELOW ARE ...

... crop nutrition has long been treated as a commodity, applied in batches, evaluated after the fact, and disconnected from real time conditions. That model creates unnecessary risk and leaves value on ...

... crop intelligence by uniting sensing technology, agronomic modeling, and machine learning into a single, powerful system that transforms raw field data into real-world decisions. We enable growers ...

... crop intelligence by uniting sensing technology, agronomic modeling, and machine learning into a single, powerful system that transforms raw field data into real-world decisions. We enable growers ...

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of ... models directly in their workflows. Over 200,000 scientists around the world trust Benchling to ...

Showing results 41-60

Crop Modeling information

What is crop modeling?

A Crop Modeling job involves developing and using computer-based models to simulate plant growth, yield, and environmental interactions. Professionals in this field analyze data related to weather, soil, and crop management to predict agricultural outcomes and optimize farming practices. They work closely with agronomists, researchers, and policymakers to improve food production efficiency and sustainability. This role typically requires expertise in agronomy, data science, and programming.

What does a crop modeler do?

Professionals in Crop Modeling typically spend their days designing and running simulations, analyzing data from field trials or remote sensing, and refining models to predict crop growth under various environmental conditions. Collaborating with agronomists, data scientists, and farmers is common to ensure models reflect real-world variables and are practical for field application. Additionally, they may present findings through reports or presentations, participate in multidisciplinary research projects, and stay updated on advancements in agricultural technology. This variety ensures each day offers unique challenges and opportunities to impact agricultural outcomes.

What are the key skills and qualifications needed to thrive in crop modeling?

To thrive in Crop Modeling, you need a solid background in agricultural science, data analysis, and mathematical modeling, often requiring an advanced degree in agronomy, environmental science, or a related field. Familiarity with crop simulation software (like DSSAT or APSIM), programming languages such as Python or R, and GIS tools is commonly expected. Strong problem-solving skills, attention to detail, and effective collaboration are key soft skills that enhance performance in this role. These skills are crucial for developing reliable models that inform decision-making in agriculture and support sustainable crop management practices.

What are the most commonly searched types of Crop Modeling jobs in California?

The most popular types of Crop Modeling jobs in California are:

What are popular job titles related to Crop Modeling jobs in California?

For Crop Modeling jobs in California, the most frequently searched job titles are:

Infographic showing various Crop Modeling job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution.

Product Manager, Growth, Scientific AI Models

Benchling

San Francisco, CA • On-site

$140 - $190/hr

Other

Re-posted yesterday


Job description

We are rebuilding biotech for the AI era.

When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.

We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day‑to‑day. As part of our interview process, you'll complete a brief AI‑focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.

ROLE OVERVIEW

The Model Hub team is building a computational platform that provides access to cutting‑edge scientific AI models to help scientists design better drugs. Scientific models (e.g. AlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life‑saving therapeutics.

RESPONSIBILITIES
  • Own the product roadmap for our scientific model platform — defining and prioritizing the models, features, and capabilities that let scientists run inference fast, reliably, and cost‑effectively across a diverse set of scientific models.
  • Define intuitive and beautiful product experiences across UI and API that let computational users execute high‑throughput runs and analyze their results, translating customer needs into clear requirements for engineering.
  • Work directly with customers to ideate use cases, gather feedback, and grow adoption and usage of our scientific AI models across scientific teams.
  • Help shape how we build AI at Benchling — driving experimentation, contributing to product and technical direction, and helping evolve our product development and go‑to‑market practices as the field matures.
QUALIFICATIONS
  • 5+ years of product management experience building technical or platform products, ideally in scientific, ML/AI, or other data‑intensive domains.
  • Technical fluency: you can read API specs, reason about system tradeoffs, and have credible conversations with engineers about how scientific models are built and served.
  • Strong analytical skills, comfortable using data to drive product decisions and to measure and grow adoption and usage.
  • Collaborative mindset, able to work closely with engineers, scientists, and partners across legal, strategy, and GTM to bring new ideas to life.
  • Desire to work in a fast‑paced environment, where priorities can shift and rapid experimentation is encouraged.
HOW WE WORK

This is an in‑person team in San Francisco built around collaborating in the office in a fast‑paced environment. We’re in the office Monday through Friday.

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Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

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