Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will 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. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions.
What you'll do
- 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, 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
- Collaborate with cross-functional teams, including 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 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
- Mentor junior team members, providing technical guidance and fostering professional growth
- Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning
What we're looking for
- PhD 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 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)
- Excellent communication skills, capable of presenting complex technical information clearly
While not required, these are a plus
- Experience with C++
- Experience in high-growth, innovative environments
- Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus