Innovation Works - Pittsburgh, PA

posted 27 days ago

Full-time - Mid Level
Pittsburgh, PA
Professional, Scientific, and Technical Services

About the position

As a Machine Learning Expert at Leaficient, you will play a crucial role in designing and building our foundational data pipelines, processes, and models. Your work will involve innovative concepts from the world of computer vision to understand, predict, and control plant growth. You will be developing software that operates within farms, taking into account real-world constraints. This position requires familiarity with a broad range of computer vision, signal processing, and optimization techniques, as well as a principled approach to downsample and implement the correct algorithm for the job. In this role, you will be responsible for developing computer vision models to detect and classify plants, which is essential for our mission to enhance indoor farming capabilities. You will also be tasked with building a large training dataset for computer vision models, ensuring that our systems are robust and effective. Additionally, you will have a foundational role in building and defining all aspects of our data and machine learning systems, contributing to the overall success of our innovative projects. We are looking for a machine learning expert who is not only technically proficient but also passionate about making a significant impact in the agricultural technology space. Your contributions will help us leverage modern robotics and data science to expand the scope and competitiveness of indoor-grown crops, ultimately addressing the challenges posed by climate change on outdoor farming.

Responsibilities

  • Develop computer vision models to detect and classify plants
  • Build a large training dataset for computer vision models
  • Have a foundational role in building and defining all aspects of data and machine learning systems

Requirements

  • Familiarity with deep learning and computer vision models
  • Extensive hands-on experience (3-5 years preferred) with computer vision libraries (e.g., OpenCV, pytorch, Keras, scikit-image)
  • Knowledge of image segmentation, image classification, and depth estimation tasks
  • Experience with common AWS services is preferred, particularly S3 and Lambda
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