Machine Learning Engineer, Computer Vision

Machine Learning Engineer, Computer Vision

Seattle, Washington, United States

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. We envision a future where people transact in the real world with speed, ease and convenience that is unparalleled, even online.

Who you are

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.

What you'll do

• 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

What we're looking for

While not required, these are a plus

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our office-first model requires employees to be on-site at least four days a week.

Metropolis is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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