EchoTwin AI

A leading AI infrastructure company in San Francisco is looking for a Senior Data Scientist to drive data-driven decision-making. This pivotal role combines data analytics, machine learning, and business strategy to provide actionable insights. Candidates should have at least 5 years of experience, advanced knowledge of Python and SQL, and the ability to present findings to diverse audiences. The position offers competitive perks including flexible medical coverage, a 401(k) plan, and unlimited PTO.

Senior Data Scientist Join to apply for the Senior Data Scientist role at EchoTwin AI. Get AI-powered advice on this job and more exclusive features. Company Overview 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. What The Job Involves EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights. This role offers a unique opportunity to collaborate with transit agencies, product teams, finance, engineering, and company leadership to solve complex problems and unlock new opportunities using data. Responsibilities Design and implement data-driven solutions to support strategic decision-making across the company. Develop rigorous methods to assess transit performance and broader impacts across all deployment stages, controlling for confounders and external factors. Analyze structured and unstructured data to identify trends, anomalies, and opportunities that can enhance product offerings and operational efficiencies. Collaborate with engineering teams to operationalize models and ensure seamless integration into our data pipelines. Build and maintain dashboards and reports that track key performance indicators (KPIs) to provide transparency and drive business goals. Conduct exploratory data analysis (EDA) to inform product development and business strategies. Act as a data advocate by effectively communicating findings and recommendations to technical and non-technical stakeholders. Contribute to developing scalable data science workflows and best practices within the organization. Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data science, machine learning, or a related field, with a track record of delivering impactful data solutions. Proficiency in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques. Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar. Experience working with visualization tools like Tableau or Looker to translate insights into actionable recommendations. Excellent problem-solving skills with the ability to analyze complex data and provide clear, data-driven insights. Strong communication skills with the ability to present findings to both technical and business audiences. Bonus Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services. Familiarity with geospatial analytics and processing spatial datasets. Experience working with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs). Prior experience in a startup environment and a desire to make a significant impact. Benefits And Perks There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields such as 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

Join to apply for the Application Engineer - Computer Vision role at EchoTwin AI. Company Overview 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. What You'll Do We are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms. The ideal candidate will have expertise in embedded systems, computer vision, and software development, with a passion for delivering high performance solutions in real world applications. Key Responsibilities System Development and Deployment: Design, develop, and deploy computer vision applications on NVIDIA Jetson platforms (e.g., Jetson Xavier, Orin, Thor). Algorithm Optimization: Optimize computer vision algorithms (e.g., object detection, image segmentation, tracking) for performance, power efficiency, and real time processing on resource constrained devices. Integration: Integrate computer vision pipelines with hardware components, sensors, and peripheral devices, ensuring seamless operation in embedded environments. Software Development: Write clean, efficient, and maintainable code in Python, C++, or CUDA for computer vision tasks, leveraging NVIDIA's JetPack SDK, DeepStream, and TensorRT. Testing and Validation: Conduct rigorous testing, debugging, and validation of computer vision systems to ensure reliability, accuracy, and robustness in diverse scenarios. Collaboration: Work closely with cross functional teams, including data scientists, hardware engineers, and product managers, to align solutions with project requirements. Documentation: Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance. Stay Updated: Keep abreast of advancements in computer vision, embedded systems, and NVIDIA technologies to recommend innovative solutions. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. A PhD is a plus. 3+ years of experience in developing and deploying computer vision or machine learning applications. Hands on experience with NVIDIA Jetson platforms and associated tools (JetPack SDK, DeepStream, TensorRT). Proficiency in programming languages such as Python, C++, and CUDA. Experience with computer vision libraries/frameworks (e.g., OpenCV, PyTorch, TensorFlow). Familiarity with Linux based development and embedded systems. Strong understanding of computer vision algorithms (e.g., CNNs, YOLO, Transformer, image processing techniques). Knowledge of optimizing neural networks for edge devices (e.g., model quantization, pruning). Experience with hardware software integration, including cameras, sensors, and GPUs. Excellent problem solving and debugging skills. Strong communication and teamwork abilities. Familiarity with cloud edge architectures for computer vision applications. Knowledge of containerization tools (e.g., Docker) for deployment. Prior work in industries such as autonomous vehicles, robotics, or IoT. Benefits And Perks 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.

A leading AI-driven infrastructure firm in San Francisco is seeking an experienced Security Engineer to lead cybersecurity initiatives and manage security for their cloud environments. The role involves developing security strategies, conducting audits, and collaborating with development teams to ensure robust security practices. A degree in Computer Science and experience in cloud security are required. Competitive benefits and a dynamic work environment are offered.

Company Overview 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. What The Job Involves Our Engineering teams work at the cutting edge of technology, leveraging AWS and GCP cloud services and developing our own Linux-based edge devices. As a dynamic startup, we understand the critical importance of cybersecurity in protecting our innovative solutions and ensuring the safety of our digital environment and customer data. We're seeking a passionate Security Engineer to lead our cybersecurity initiatives and safeguard our code and infrastructure against ever-evolving threats. You will manage security for our production and corporate systems, handle security alerts, implement policies, and collaborate with external customers on security needs. Responsibilities Develop and implement comprehensive security strategies for our cloud environments (AWS and GCP) and Linux-based systems. Design and implement public/private key management and PKI (Private Key Infrastructure) for our edge devices. Perform regular security audits, risk assessments, and penetration testing to identify vulnerabilities in our code and infrastructure. This includes conducting thorough code audits from a security perspective to ensure our applications are developed with the highest security standards. Design and manage security protocols for our edge devices, ensuring robust protection against external threats. Stay abreast of the latest cybersecurity trends and threats, applying this knowledge to fortify our defenses. This includes proactive monitoring and implementing fixes for zero-day vulnerabilities to prevent exploitation. Develop and enforce security policies and procedures, conducting security awareness training across the company to cultivate a security-first culture. Collaborate with development teams to integrate security measures into the software development lifecycle (SDLC), promoting security best practices for application development to mitigate risks from the outset. Respond swiftly to security incidents, leading the investigation and remediation efforts to minimize impact. This includes resolving security breaches and ensuring that similar vulnerabilities are addressed across all projects. We work with our partners and clients to have deep technical discussions about security posture, review and discuss the security requirements, and formulate the necessary changes for the engineering team. Manage and maintain CIS-compliant OS images for our Cloud infrastructure and field devices. Must possess demonstrable knowledge of application security, security testing methodologies, and application security testing automation. Qualifications Degree in Computer Science, Engineering, or related field. 6+ years of software engineering or equivalent experience. Experience with one of the core (Golang, Python) programming languages, scripting, and automation. Strong knowledge of encryption protocols, public/private key management, and PKI (Private Key Infrastructure). Strong understanding of network security, encryption practices, and secure coding principles. Proven experience in cloud security management (AWS, Azure, GCP). Familiarity with security policies and controls for internal corporate applications (Google Workspace, GitHub, Jira). Familiarity with security compliance standards relevant to our industry. Strong skills in managing security tools and vendor relationships. Excellent ability to develop and implement security policies and guidelines. Understanding of blockchain principles is a plus. Relevant certifications in security and cloud platforms are highly desirable. Benefits and Perks 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