Machine Learning Engineer for Indoor Farming Systems

5 days ago


Pittsburgh, Pennsylvania, United States Innovation Works, Inc. Full time
Job Summary:

We are seeking a highly skilled Machine Learning Engineer to join our team at Innovation Works, Inc.

In this role, you will design and build foundational data pipelines, processes, and models that apply innovative concepts from computer vision to understand, predict, and control plant growth.

You will develop software that operates within farms with real-world constraints and be familiar with a broad range of computer vision, signal processing, and optimization techniques.

About Us:

Our company, Innovation Works, Inc., is working to build the infrastructure for indoor growers to leverage modern robotics and data science to expand the scope and competitiveness of indoor-grown crops.

We aim to pair data generated by our integrated system with specialized AI to give indoor farmers the opportunity to compete with outdoor farmers in new crops/verticals.

Key Responsibilities:
  • Develop computer vision models to detect and classify plants
  • Build a large training dataset for CV 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
Salary:

The estimated salary for this position is $120,000 - $160,000 per year, depending on experience.



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