Senior Machine Learning Engineer, Computer Vision

Position Overview

Metropolis is an artificial intelligence company using computer vision technology to create frictionless, checkout-free experiences in the real world. We are reimagining parking, enabling millions of consumers to just "drive in and drive out" and making everyday experiences remarkable. We are seeking a Senior Machine Learning Engineer to join our Advanced Technologies team. You'll play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions.

Key Responsibilities

• Design, develop, and deploy advanced computer vision models for real-world applications including object detection, tracking, OCR, image search, and scene understanding.
• Build and optimize deep learning models to ensure high accuracy, performance, and scalability in production environments.
• Explore and integrate multi-modal approaches by leveraging visual, textual, and other data modalities.
• Collaborate with cross-functional teams such as data engineers and software engineers to deliver end-to-end solutions.
• Lead the design and implementation of scalable pipelines for data processing, model training, and deployment.
• Optimize models for performance across various hardware platforms including CPUs, GPUs, and edge devices.
• Conduct extensive experimentation and A/B testing to validate model effectiveness and business alignment.
• Mentor junior team members by providing technical guidance and fostering professional growth.
• Write clean, efficient, and maintainable code in accordance with best practices in software engineering and machine learning.

Required Qualifications

• MS or PhD (preferred) in Computer Science, Engineering, or a related field; or equivalent work experience.
• 5+ years of hands-on experience in machine learning and computer vision with a strong record of deploying models into production.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, ONNX, TensorRT).
• Strong experience with model optimization techniques (e.g., quantization and pruning) and deployment on cloud, edge, or mobile platforms.
• Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration tools (ECS, Kubernetes).
• Proven experience in building and maintaining data pipelines (e.g., using Airflow).
• Strong understanding of agile development processes and CI/CD pipelines (e.g., Github Actions, Jenkins).
• Excellent communication skills with the ability to present complex technical information clearly.

Preferred Qualifications

• Experience with C++.
• Experience in high-growth, innovative environments.
• Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS).

Benefits & Perks

• Compensation: $150,000.00 to $200,000.00 annually
• Healthcare Benefits
• 401(k) Plan
• Disability Coverage (Short & Long Term)
• Basic Life Insurance
• Lucrative Stock Option Plan
• Bonus Plans