Machine Learning Engineer, Lumen Research

• Proficiency in Python and a good understanding of machine learning principles
• Hands-on experience or familiarity with at least one major deep learning framework: TensorFlow or PyTorch
• A solid foundation in computer vision concepts and techniques

Desirable

• We are seeking a motivated and talented Junior to Mid-Level Machine Learning Engineer with a passion for Computer Vision to join our innovative team. This role offers the opportunity to work on high-impact projects while gaining exposure to cutting-edge technologies and approaches in machine learning and AI. You will contribute to projects such as:
• Improving eye-tracking technology to advance human attention analytics
• Building visual attention models to optimize advertising effectiveness
• Developing solutions for object tracking and semantic analysis. This role is ideal for candidates with foundational machine learning experience who are eager to grow, learn, and make a meaningful impact
• Key Responsibilities
• Assist in designing and developing machine learning models for computer vision applications
• Support the development and optimization of models for tasks such as eye-tracking, object detection, and semantic segmentation
• Work closely with senior engineers to deploy models into C++ SDKs, ensuring high performance and scalability
• Experiment with and fine-tune models using frameworks like TensorFlow or PyTorch
• Contribute to the integration of models into MLOps platforms (e.g., MLflow, SageMaker, Kubeflow)
• Stay current with the latest research and best practices in computer vision and deep learning