Metropolis
SeniorMachineLearningEngineer,ComputerVision
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer, Computer Vision at Metropolis. Skills: computer vision, machine learning, deep learning, object detection, tracking, OCR, multi-modal systems. Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding. Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments”
Industry & Context.
problem solvers; tackling challenging problems
4 Days in Office
What They're Looking For.
Must Have
5+ years of hands-on experience in machine learning and computer vision, with a track record of deploying models into production, Proficiency in Python, ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT), experience with model optimization (e. g. , quantization, pruning) and deployment on various platforms (cloud, edge, or mobile), Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), orchestration (ECS, Kubernetes), Proven experience in building and maintaining data pipelines (e. g. , Airflow), 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 Have
Experience with C++, Experience in high-growth, innovative environments, Publications in top-tier conferences (e. g. , CVPR, ICCV, NeurIPS)
What You'll Do.
and deploy advanced computer vision models for real-world applications
including object detection
and scene understanding
Build and optimize deep learning models
ensuring high accuracy
and scalability for deployment in production environments
Explore and integrate multi-modal approaches
and other data modalities for robust solutions
Lead the design and implementation of scalable pipelines for data processing
Optimize models for performance on various hardware platforms
Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives
Mentor junior team members
providing technical guidance and fostering professional growth
and maintainable code while adhering to best practices in software engineering and machine learning
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions; Mentor junior team members, providing technical guidance and fostering professional growth; play a key role in building and maintaining this culture as our organization grows
Communication Scope
Excellent communication skills, capable of presenting complex technical information clearly
Process & Methodology
agile development process
Full Job Description
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it. Who you are We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions. What you'll do Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment Optimize models for performance on various hardware platforms, including CPUs, G
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