About The Position

The research team at ECRS is looking for a talented, experienced individual who is fearless in tackling real world problems with efficient, practical Machine Learning (ML) solutions and demonstrate excellence in computer vision.

Requirements

  • Advanced degree in Computer Science, Statistics, Mathematics or similar, or a comparable career in the industry with an exceptionally good record of successful projects.
  • Minimum 3-5 years of industry experience in computer vision delivering successful solutions.
  • Good understanding of machine learning, statistics, and mathematics.
  • Experience and exceptionally good proficiency in Python and Java, or C/C++.
  • Proficient knowledge and experience with image classification, detection, tracking, etc.
  • Proficiency in image/video processing and computer vision tools.
  • Proficiency in machine learning tools and frameworks such as PyTorch, TensorFlow or similar.
  • Experience working with edge devices.
  • Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
  • Familiarity with machine learning workflow.
  • Familiarity with cloud-based machine learning platforms.
  • Experience in software testing and debugging including the use of automated testing processes.
  • Familiarity with relational databases.
  • Familiarity with SQL.
  • Basic understanding of a retail environment & operations.
  • Strong written and verbal communication skills.
  • Authorized to work in the United States.

Nice To Haves

  • Experience with deep learning infrastructure is a plus.
  • Experience with NLP is a plus.
  • Proficiency in statistical analysis is a plus.
  • Experience with parallel computing technologies or distributed computing techniques is a plus.

Responsibilities

  • Research, design, develop and train new machine learning models or adapt and apply existing models and applications.
  • Design or develop software systems using design and functional specifications, scientific analysis, good software development practices, and mathematical models.
  • Write, update, and maintain computer applications and software packages to handle specific jobs based on machine learning.
  • Develop and direct software system testing and validation procedures.
  • Review and modify existing software to correct errors, adapt to new hardware, and upgrade interfaces and improve performance.
  • Direct software programming and development of corresponding documentation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service