Bloomfield specializes in using AI and deep learning to enhance crop inspection processes. By automating the identification and assessment of plant characteristics and anomalies, Bloomfield aims to improve accuracy, consistency, and efficiency in agriculture technology. With a focus on robotics, embedded systems development, and phenotyping for crops like grapes and blueberries, Bloomfield offers a distinctive solution that complements human inspectors.
Open Positions
Data Engineer
5+ years of experience as a Data Engineer or similar role, Bachelor's or Master's degree in Computer Science, Engineering, or similar field
Data Engineer
5+ years of experience as a Data Engineer, strong proficiency in Python, Pandas, and SQL, experience with AWS technologies
AI Engineer
3+ years of cloud-based AI experience, proficiency in PyTorch, TensorFlow, and Python, and experience with multi-class models
AI Engineer
3+ years of experience developing cloud-based AI solutions, Proficient in common deep learning tools, Experience with multi-class models and hierarchical classification
Senior Infrastructure Software Engineer
2-3 years of experience in software engineering with a focus on infrastructure and data systems; proficiency in Python and AWS services; familiarity with infrastructure-as-code tools and containerization technologies
Product Data Scientist
Solid Python experience, solid knowledge in Machine Learning and Computer Vision, ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods
Product Data Scientist
2+ years of experience in Machine Learning, Computer Vision, and data analysis. Solid Python experience. Ability to design, conduct, and interpret experiments