Machine Learning Engineer, Computer Vision

Metropolis Technologies, Inc.•Los Angeles, CA

45d•$150,000 - $180,000•Onsite

About The Position

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. As a Machine Learning Engineer at Metropolis, you will accelerate recognition commerce through data innovation. You will be a key leader in Engineering, responsible for designing and building the robust generative data engine and intelligent algorithms that fuel our ML models. Your mission is to bridge data and models through automation, creating the scalable foundation that underpins the predictive, personalized experiences defining the future of the built world.

Requirements

MS or PhD in Computer Science, Engineering, or a related field, or equivalent work experience
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)
Excellent communication skills, capable of presenting complex technical information clearly

Nice To Haves

Experience in high-growth, innovative environments

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
Implement best practices in automation, testing, and deployment to foster rapid feature/model development and release
Foster a culture that views bugs and production issues as opportunities for improvement
Contribute to the hiring and cultural development within Metropolis Engineering
Ensure high availability and scalability of Machine Learning systems
Collaborate with partners to integrate their products seamlessly into the Metropolis platform