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." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Requirements
- 3+ years of experience in machine learning and software engineering, with expertise in computer vision and multi-modal models
- Proficiency in Python and Machine Learning frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
- Strong experience with cloud services, preferably AWS
- Familiarity with Machine Learning model serving infrastructure and best practices
- Knowledge of transactional and analytical database technologies
- Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
Responsibilities
- Work with the machine learning team to perform state-of-the-art research, train, and optimize machine learning algorithms
- Design, implement, and maintain active learning algorithms and generative vision models to ensure cost efficient data sampling and learning
- Maintain and revisit innovative methodologies to curate high quality data and annotations
- Design, implement, and maintain the machine learning data pipelines and infrastructure
- Work with technologies like AWS, SQL/NoSQL databases, Kafka, Airflow, and NVIDIA Triton, ensuring efficient and effective use of these tools
- Collaborate with other Engineering and Product teams to define requirements and facilitate the smooth deployment of software into production
- Play a vital role in the entire development lifecycle, from concept and requirement identification to implementation
Other
- MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience
- Excellent communication skills, capable of presenting complex technical information clearly
- Experience in high-growth, innovative environments
- Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection
- Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience.
