Product Data Scientist

About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed.

Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest.

Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future.   In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield.

This acquisition unites Bloomfield’s innovative technology with Kubota’s extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide.

Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry.

About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products.

We are now reorganizing the team into AI Platform and AI Product Streams.

Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end.

This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers.

We are looking for an AI Engineer – Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users.

You will take an ask from the Product team (e.g., “We are counting citrus; we want to estimate their weight.”) and drive the early phases of the ML lifecycle :

• data selection annotation strategy data and annotation quality and exploration metric definition model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers’ operations.

Responsibilities :