Full Stack Machine Learning 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 opportunities. We’re building the digital pipes through which the future of mobile commerce will move.

The Role

Metropolis is seeking a Full Stack Machine Learning Engineer to contribute to the development of the Machine Learning projects that will empower our data, training, and deployment pipelines at scale. 

You will be responsible for developing and scaling up Machine Learning projects through standardization and automation at the infrastructure level. The platform you build will accelerate and scale up the life cycle of our product to thousands of locations and provide a foundation for ML engineers. If you are interested in building fault-tolerant systems, and eliminating toil, automation, and CI/CD in the computer vision area, this is the ideal opportunity for you.

Key Responsibilities

• Work with the machine learning team to build a scalable and reliable ML infrastructure.
• Collaborate with the application development team to integrate the computer vision models with the existing backend systems.
• Build and test computer vision and machine learning projects.
• Drive and improve version control strategies for data and code.
• Build monitoring tools and automate the inference 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

• 5+ years of experience in modern software design, development, version control, refactoring, testing, and CI/CD
• 3+ years of experience with C++
• 2+ years of experience with large scale datasets, data pipelines, databases tools/libraries
• 2+ years of experience with distributed/scalable systems infrastructure to operate algorithms as a software product
• 2+ years of experience in deep learning framework, TensorFlow/PyTorch/MxNet, OpenCV
• 1+ years of experience in implementing and integrating machine learning software, related to computer vision detection and recognition algorithms in C++
• Excited about working in a fast-paced, dynamic startup environment

Preferred Qualifications

• Python is a plus
• Knowledge of AWS SDK, CloudWatch, S3
• Knowledge of GoogleTest and Gmock framework
• Knowledge of Jenkins CICD pipeline
• Knowledge of TensorRT and CUDA

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.