Senior Machine Learning Engineer, Computer Vision

• Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, 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, GPUs, and edge devices.
• 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.
• Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.  

• MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience.  
• 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production.
• Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT). Experience with C++ is a plus. 
• Strong 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), and orchestration (ECS, Kubernetes)
• Proven experience in building and maintaining data pipelines (e.g., Airflow). 
• 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.  
• Experience in high-growth, innovative environments is a plus.  
• Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus.

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