Senior Machine Learning Engineer, Computer Vision

Responsibilities

• Design, develop, and deploy advanced computer vision models for object detection, tracking, OCR, and scene understanding
• Build and optimize deep learning models for high accuracy and scalability in production
• Explore and integrate multi-modal approaches leveraging visual and textual data
• Lead the design and implementation of scalable pipelines for data processing and model deployment
• Optimize models for performance on CPUs, GPUs, and edge devices
• Mentor junior team members and provide technical guidance
• Write clean, efficient, and maintainable code following software engineering best practices

Requirements

• PhD in Computer Science, Engineering, or related field, or equivalent experience
• 5+ years of experience in machine learning and computer vision
• Proven track record of deploying models into production
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, ONNX, or TensorRT
• Experience with model optimization including quantization and pruning
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)
• Experience with orchestration tools like ECS or Kubernetes
• Experience building and maintaining data pipelines using tools like Airflow
• Understanding of agile development and CI/CD pipelines

Preferred Qualifications

• Experience with C++
• Experience in high-growth, innovative environments
• Publications in top-tier conferences such as CVPR, ICCV, or NeurIPS

About the Company

Metropolis is pioneering the Recognition Economy, creating artificial intelligence to make the real world responsive. They build technologies at the intersection of parking, mobility, and real estate to transform mundane repetition into seamless experiences.