Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out."
Requirements
- 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production.
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT).
- Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile).
- Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
- Proven experience in building and maintaining data pipelines (e.g., Airflow).
- Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins).
- Experience with C++ is a plus.
Responsibilities
- Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding.
- Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments.
- Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions.
- Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment.
- Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices.
- Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives.
- Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.
Other
- MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience.
- Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions.
- Mentor junior team members, providing technical guidance and fostering professional growth.
- Excellent communication skills, capable of presenting complex technical information clearly.
- Experience in high-growth, innovative environments is a plus.
