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.
We are looking for a Geotech Engineering expert also experienced in machine learning to join our team at One Concern. This role will work on development and improvement of machine learning models designed for our earthquake module. You will be identifying new useful data sources, envisioning creative applications of machine learning and building models to improve damage prediction due to earthquakes.
We work in a highly collaborative, challenging and exciting environment. Our engineering challenges are unique, so you should be comfortable stepping in uncharted territory and excited to create systems that can scale to all disasters and geographies. If you are 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.
We are committed to a workplace that reflects the community we serve. We especially encourage women, people of color, and others who are underrepresented in the tech industry to apply.
What you will do
- Research and develop seismic geotechnical models for VS30 prediction, liquefaction susceptibility prediction, and seismic slope stability evaluation using the state-of-the-art techniques and practices in the field
- Research and develop a model for probabilistic assessment of the earthquake-induced ground displacements
- Verification, validation, and calibration of geotechnical models
- Review and interpretation of historical event data, and lead model improvement based on ground truth
- Review ground motion data and earthquake event footprints (e.g., Shakemap)
- Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights
- Ph.D. (preferred) or Master’s degree in geotechnical engineering, civil engineering, or related field with emphasis on earthquake engineering or engineering seismology
- Experience in probabilistic seismic risk assessment, catastrophe risk modeling, engineering consulting, or design
- Strong understanding of probabilistic seismic hazard analyses (PSHA), ground motion prediction equations (GMPEs), site response simulation, and site amplification
- Strong knowledge of probability theory, statistics, and geospatial statistics with a strong analytical mindset
- Proficiency in mapping/geospatial tools, e.g., QGIS
- Programming skills to develop and support model update, e.g., Python, R
- Ability to work independently as well as in a team environment
Good to have
- Experience in catastrophe risk modeling
- Experience in earthquake reconnaissance
- Experience in site response analyses, e.g., DEEPSOIL
- Experience in machine learning and quantitative analytics
- Strong publication record
Perks and 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