We predict and quantify the impact of natural disasters, using machine learning to build more resilient businesses, infrastructure, and global communities.

Integrating machine learning with a foundational expertise in physical science, data science, and leading authorities in emergency management and risk management, we use layers of complex data, drawing relationships between numerous datapoints to map the impact of disaster in a way never before possible. Once exposed, it's disclosed so that action can be taken to save lives and livelihoods.

One Concern Menlo Park, CA, USA
Mar 11, 2020
Full Time
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for a passionate and motivated Disaster Model Validation Lead to join our team. In your role, you will lead the overall Model Risk Management Framework, and be responsible for execution of validation activities for disaster models, model performance evaluations, and working with product teams to ensure that models and metrics meet customer objectives. Daily responsibilities to include: Manage the overall Model Risk Management Framework, revise as necessary based on new challenges and business needs Ensure compliance with widely accepted standardsImplement validation processes to effectively challenge the model development process, conceptual soundness, model performance, implementation, and appropriateness of model use Evaluate impact models for different disasters to people and property Clearly communicate and document findings to internal and external stakeholders in a collaborative manner Manage external independent validation process and track incorporation of their feedback by model development teams Must-haves: Ph.D. or Master’s degree in civil engineering, economics, statistics or related field with emphasis on disaster risk  Strong background in probability and statistics, and quantitative risk assessment Experience in developing and validating machine-learning modelsKnowledge of and experience in statistical tools like Python or R Ability to assess model conceptual design, back-testing of model results, theoretical underpinnings and assumptions, and compliance of model results with intended application by model users 2-3 years of related experience in hands-on model development or validation for disaster risk Strong attention to detail Communication and leadership experience, with experience initiating and driving projects Mission driven Bonus points if you have: Experience in leading projects Experience in creating and implementing machine learning validation processes Experience in one or more of the following - seismic hazard analysis, flood inundation modeling, or vulnerability modeling Perks and Benefits Market-competitive salary plus equity Comprehensive medical, dental, and vision insurance Daily catered lunches, and a fully-stocked kitchen Generous PTO policy Team off-sites Flexible working hours
One Concern Menlo Park, CA, USA
Mar 05, 2020
Full Time
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to save lives and livelihoods before, during, and after disasters. Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for passionate, motivated, and high-reaching engineers to join our team. Our engineering challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support cities of 100,000 and 10 million people alike. Do you want to wake up every day and contribute to making the world a better place? Do you like working on and with distributed systems? How do you feel about working on a data system that requires uptime in the face of a catastrophic event? The system you would work on needs to be up when everything else is down, this leads to a very interesting set of challenges. Making systems disaster resilient is a tough challenge and we need you to help us tackle this challenge. If your motto is 'Anything that is repeated too many times ought to be automated', then we are looking for you. In this role as DevOps Engineer, you are responsible for configuring, maintaining, and scaling operation systems from end to end. You should have strong prior experience working with instances in AWS and Google Cloud environments and in all aspects of building and deploying production-ready systems including architecture, planning, system administration, configuration management, deployment and performance troubleshooting. Requirements Minimum B.S. Computer Science or equivalent Minimum 8 years experience- Startup experience is a plus Scripting languages - Ruby, Python, Go, Bash RDBMS experience - MySQL, PostgreSQL Strong security, networking, and compliance experience Experience with AWS and Google Cloud Working with Elasticsearch, Nats Streaming, Spark, Tensorflow Automation and deployment - Terraform, Kubernetes, Docker, CircleCI, GitHub, etc Logging, monitoring, alerting and performance debugging - Prometheus, Jaeger, Grafana, PagerDuty, Loggly, etc Linux system administration Experience working with software engineers for system setup, performance optimization, automation, debugging, etc Responsibilities Perform on-call SRE duties and assist in diagnosis and resolution of issues with our cloud services Provisioning, securing and scaling of production infrastructure and micro-services using Google Cloud Platform Design and implementation of tools to automate deployment, provisioning, monitoring and backup of environments Deploy micro-services in Kubernetes clusters in staging, development and production environments and streamlining dev-deploy workflow Work with Dev teams to implement CI workflows in CircleCI Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed Automate our operational processes as needed, with accuracy and in compliance with our security requirements Establish DevOps Engineer team best practices Stay current with industry trends and source new ways for our business to improve Perform their role in an ethical and responsible manner Perks and Benefits Market-competitive salary plus equity Comprehensive medical, dental, and vision insurance Daily catered lunches, and a fully-stocked kitchen Generous PTO policy Team off-sites Flexible working hours
One Concern Menlo Park, CA, USA
Feb 22, 2020
Full Time
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for a passionate and motivated Data Acquisition Researcher to join our team. In your role, you will join our ongoing efforts in acquiring multi-faceted and high-resolution datasets about cities across the globe in a  scalable and cost-effective manner. These datasets become the foundation of our inventory models, and improve the accuracy of our modeling of live and future natural hazards, help governments make important data-driven decisions about evacuation and mitigation, and enable our services to be deployed anywhere in the world. Daily responsibilities to include: Researching new  technologies and sensors for data acquisition, and creating different tiers of scalable and global acquisition strategies Monitoring global natural hazard events, and identifying optimum data acquisition strategy for each event Identifying data collectors  and providers and building relationships with them to collect and acquire data Maintain a pipeline to store acquired data, process it, and make available to the team for retrieval. Must-haves We love to hear what you have done, even if it’s not for work! We want to see that you understand the challenges of collecting data in new regions and different cultures  We also want a strong focus on mission and being able to use data to benefit local communities2-3 years of related experience working with technologies like remote sensing, and aerial imagery You have worked with GIS tools like QGIS and are able to store and process large geospatial and temporal datasets You enjoy creative and structured problem solving. You like the challenge of working on complex challenges, and are capable of breaking a larger problem into sizeable, edible chunks to work on You're comfortable with ambiguity and not well defined objectives Bonus points if you have Worked with Lidar data, sensor fusion, multi-band satellite data and depth estimation Research background Passionate about use of new technologies to benefit society Experience with field data collection post disasters  Experience in deep learning and computer vision models Professional experience in at least one programming language like Python, C++, Scala, Go Perks and Benefits Market-competitive salary plus equity Comprehensive medical, dental, and vision insurance Daily catered lunches, and a fully-stocked kitchen Generous PTO policy Team off-sites Flexible working hours
One Concern Menlo Park, CA, USA
Feb 21, 2020
Full Time
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to save lives and livelihoods before, during, and after disasters. Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for passionate, motivated, and high-reaching engineers to join our team. Our engineering challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support cities of 100,000 and 10 million people alike. As a Software Architect, you will have a hands-on role to drive the organization in delivering the next generation of SaaS solutions following Agile-based development methodologies. You will engage with members of the software development team, product management, and senior management to create a vision and architecture that will support One Concern’s strategy for growth. Success in this role requires the ability to work effectively at multiple levels ranging from in the trenches with individual developers to white boarding with senior developers, to presenting and collaborating in the boardroom with senior executives and stakeholders. This means that you need to be comfortable and effective communicating in many different ways and be able to push things along by building trust and credibility with the team. Responsibilities Creating high quality, working Prototypes and POCs to be used by development teams. Develop an architecture vision and roadmap for the One Concern platform Partnering with Product managers to design applications to support the Product roadmap. Coordinating and drive design and integration of major new capabilities into the product line with senior developers, ensuring that product design and technology choices anticipate future needs, positioning us well for the long term, while efficiently satisfying short term market requirements and addressing security issues. Leading, coaching and developing a team of software developers, developing best in class systems and processes for producing high quality software that is aligned with key architecture principles and choices. Requirements 10+ years experience in all phases of software development life cycles in a web-based SaaS environment with a solid understanding of practical application of Agile Development methods and leading software development teams in Agile environment Solid engineering foundation indicated by a demonstrated understanding of product design of complex systems and/or web-based enterprise platforms Hands-on experience with implementing DevOps technologies and practices in a Kubernetes environment Hands-on experience with leading technologies used in the One Concern technology stack such as Python, Go, React and Postgres Extensive cloud experience Proven leadership experience in providing innovative technical roadmaps. Prior experience and familiarity with emerging open source technologies Some experience with ML technologies, big data and analytics Experience with Database Design Schemas and Data Modeling Strong leadership, critical thinking and analysis, verbal and written communication skills Great business acumen with a passion to solve for the customer B.S. in Computer Science or equivalent Our Stack Postgres Elasticsearch Nats Streaming Spark Tensorflow Kubernetes TypeScript Python Go Perks & Benefits Market-competitive salary plus equity Comprehensive medical, dental, and vision insurance Daily lunches, and a fully-stocked kitchen Generous PTO policy Team off-sites Flexible working hours We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
One Concern Menlo Park, CA, USA
Feb 21, 2020
Full Time
One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to save lives and livelihoods before, during and after disasters.  Founded at Stanford University, One Concern enables cities, corporations and citizens to embrace a disaster-free future, through AI-enabled technology, policy and finance.  By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for passionate, motivated and high reaching people to join our team.  Our technology challenges are unique, so you should be comfortable in uncharted territory and excited to create systems that can support cities of 100,000 and 10 million people alike. This paragraph describes the role in one to two sentences. One Concern is seeking  a Geospatial Data Engineer to join our team at One Concern. This role will work on identifying and acquiring new data sources to support and improve our product offerings. You should have a keen eye for data and have experience in collecting, cleaning, analyzing and adding critical data to our pipeline. We work in a highly collaborative, challenging and exciting environment. If you are a problem solver, think out-of-the-box, love challenging yourself, and want to work for a cause, we would love to have you at One Concern. Requirements 5+ years of experience in Geographical Information Systems 5+ years of experience in processing and analyzing geospatial dataExperience in writing Python codes for data processing/analysis  Excellent presentation and communication skills, with the ability to explain the details of various data sets to people from other fields Experience in processing and analyzing data with Japanese language text Business level reading and writing skills in both English and Japanese BS/BA or equivalent level degree holder Motivation to learn new things Strategic thinking Problem-solving aptitude Mission driven Responsibilities Analyze performance, accuracy, and utility of Earth Observation data, components, and approaches in both time and space. Develop and document financial metrics, and goals for managementInvestigate existing data exploitation methods and automation techniques for processing GIS data (e.g., machine learning, spatiotemporal statistics) Understand the details of necessary data sets and be able to explain to internal teams, data partners and customers Work with internal Data Acquisition Managers to manage necessary data catalogs in a timely manner Work with Data Acquisition teams to process various data sets including data from Japan in order to prepare data for the Data Scientists at Headquarters Analyze performance, accuracy, and utility of collected/acquired/synthesized geospatial data Be on the constant lookout for relevant datasets that will improve our products Streamline data acquisition and merging into our data and machine learning pipelines Build processes for ingesting data into the internal AI system by communicating with data providers and the internal data acquisition team Bonus Points Expert knowledge of GDAL and open-source GIS tools including PostgreSQL and PostGIS databases  Experience in disaster management and/or hazard modeling MS in Geographic Information Science, Computer Science or related engineering fields Knowledge and/or experience in Machine Learning, or Artificial Intelligence Working knowledge of programming languages like R Perks & Benefits Comprehensive Medical, Dental & Vision Insurance Generous PTO Policy Innovative Office at WeWorkTeam Off-sites Flexible Working Hours Travel We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.