Machine Learning Infrastructure Engineer

Machine Learning Infrastructure Engineer

The company

Metropolis develops advanced computer vision and machine learning technology that make mobile commerce remarkable. Our platform is already deployed in hundreds of mobility facilities and industries with billions in opportunity. We’re building the digital pipes through which the future of mobile commerce will move.

The role

Metropolis is seeking a Machine Learning Infrastructure Engineer to lead the development of MLOps cycle that would empower our data, training, and deployment pipelines. You will be responsible for developing and managing various pipelines by identifying inefficiencies and solving these problems through standardization and automation at the infrastructure level. The platform you build will accelerate the life cycle of our product and provide a foundation for the workflow of ML engineers. If you are interested in building fault-tolerant systems, eliminating toil, automation, and CI/CD in the computer vision area, then this is the ideal opportunity for you.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows.

Key Responsibilities 

  • Work with the Machine learning team to build a scalable and reliable MLOps infrastructure.
  • Collaborate with the application development team to integrate the computer vision models with the existing backend systems.
  • Build and deploy ETL pipelines with workflow management tools.
  • Drive and improve version control strategies for data and code.
  • Build monitoring tools and automate the training pipeline.
  • Develop CI/CD pipelines for deployment on cloud and edge.
  • Write maintainable and high-quality code across our pipelines.
  • Think big, and explore divergent concepts/ideas while understanding how to converge and build iteratively towards the goals of the Machine Learning team.
  • Inspire the entire team (including your cross-functional) partners by bringing new ideas to the table.
  • Help with hiring and onboarding of engineers to the Machine Learning team.

Requirements and Qualifications

  • 2+ years of experience in modern software design, development, version control, refactoring, testing, and CI/CD
  • 2+ years of experience with Python/C++ and knowledge of Javascript, Typescript, React is a plus
  • 1+ years of experience with large scale datasets, data pipelines, databases tools/libraries
  • 1+ years of experience with distributed/scalable systems infrastructure to operate algorithms as a software product
  • 1+ years of experience in deep learning framework, TensorFlow/PyTorch/MxNet
  • Experience implementing machine learning software, related to computer vision detection algorithms like RCNN, SSD, YOLO, ResNet, DenseNet, etc
  • Excited about working in a fast-paced, dynamic startup environment.

At Metropolis, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. If you’re good at what you do, come as you are. The more inclusive we are, the better our work will be. We are proud to be an equal opportunity workplace.

Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.