EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety. By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems. More than “smart cities,” EchoTwin is advancing the era of cognizant cities—urban environments with the awareness to see, think, and act on challenges in real time.
ResponsibilitiesCollaborate with cross-functional teams, including the product manager, software developers, and domain experts.
Research and experiment with state-of-the-art tools and techniques in Machine Learning.
Document processes, pipelines, and model performance thoroughly.
Train and deploy machine learning models for object detection and classification in images and videos.
Preprocess and annotate image and video datasets for training purposes.
·Optimize deep learning models for efficiency and scalability in production.
·Design and implement predictive models to analyze trends, patterns, and anomalies.
Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.
Apply statistical and machine learning techniques to forecast outcomes and support decision-making.
Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.
5+ years of experience as a Computer Vision Engineer.
10+ years in software development and machine learning.
Strong knowledge of machine learning concepts and algorithms.
Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).
Familiarity with predictive analytics tools.
Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.
Experience with MLOps practices.
Proficiency in spoken and written English.
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!
Options for medical, dental, and vision coverage for employees and dependents (for US employees)
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
401(k) with 3% company matching
Unlimited PTO
Profit sharing
Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.
Top Skills
What We Do
EchoTwin AI is a leader in AI-driven infrastructure intelligence, redefining urban management with its proprietary visual intelligence engine capable of full spatial reasoning. By transforming municipal fleets into urban sensors, EchoTwin generates living digital twins of cities that provide real-time insights across infrastructure, compliance, and safety. This empowers municipalities to proactively monitor, predict, and resolve issues—creating resilient, self-healing, and sustainable urban ecosystems. EchoTwin is advancing smart cities into cognizant cities, endowed with the self-awareness to see, think, and act on challenges in real time.
