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 Bloomfields innovative technology with Kubotas 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:

• Work closely with AI Product and Engineering teams to build AI product focusing on value delivered to customer
• Own the early ML lifecycle: data exploration curation annotation strategy metric design model prototyping and experimentation
• Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics
• Translate raw plant imagery and sensor data into business insights for specialty crops (e.g. citrus grapes berries)
• Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline
• Contribute to shaping our new AI Product Stream structure and workflows

Qualifications:

• Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection exploration cleaning model design and training performance evaluation)
• comfort working with real-world messy data
• Solid Python experience
• Solid knowledge in Machine Learning and Computer Vision
• ability to design conduct and interpret experiments using appropriate statistical and scientific methods
• A product mindset willing to iterate with users look at thousands of images define metrics and refine models

Bonus Points:

• knowledge of plant physiology plant development agronomy or related disciplineExperience with high-throughput phenotyping crop estimation or yield prediction
• Experience working with imagery or sensor data in agricultural environments
• Experience in Deep Learning
• Experience in C

What We Offer

In addition to the opportunity to apply and develop your skills toward key business objectives we offer an excellent compensation package including:

• Competitive base salary & bonus
• Opportunity to shape the future of AI in agriculture within a small focused team backed by Kubota

Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race color religion sex national origin sexual orientation disability gender identity protected veteran status or other protected classes.