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Pear VC

Founding AI Engineer - Resiquant

location icon San Francisco Bay Area
Full Time

About Us:

Across the globe, rapid urbanization and escalating climate change impacts are driving skyrocketing risks from disasters like earthquakes, hurricanes, and wildfires—yet buildings are still designed based on antiquated safety standards rather than true resilience, leading to unacceptable losses. The key to driving change is aligning incentives for adaptation.

At ResiQuant, we're on a mission to revolutionize disaster risk management for the built environment by empowering insurers, financial institutions, and asset managers with the world's most advanced property risk analytics and resilience intelligence. By harnessing the power of advanced data analytics and AI, we enable organizations to comprehensively quantify exposure, assess risk, and identify cost-optimal adaptation strategies across seismic and climate hazards. Our solutions pinpoint powerful resilience interventions with compelling financial justifications.

Founded by Stanford PhDs and backed by Pear VC, ResiQuant is driven by an unwavering commitment to protect communities and businesses from the devastating impacts of disasters. We believe that every organization deserves access to best-in-class property risk intelligence to build resilience against the storms to come—and we won't stop until this is the norm, not the exception.

About You:

We're seeking a passionate individual to join us as our Founding AI Engineer, becoming the pivotal third member of our team ahead of the PearX program in June 2024. We prize candidates who share our company's vision and are ready to help foster an inclusive and collaborative culture. As a lean pre-seed startup, we need someone with a scrappy, hands-on approach, eager to evolve alongside our team. The ideal candidate is excited to apply their AI/ML expertise, particularly in computer vision and LLMs, to shape the trajectory of a groundbreaking company.

  • Start date: Immediate

Qualifications:

  • Background in Computer Science, Aerospace Engineering, Robotics Engineering, or a related

subject.

  • Experience with Computer Vision and LLMs in the academic and/or practical environment.

  • Experience coding and testing in both Python and C++.

  • Familiarity with Tensorflow, PyTorch, OpenCV, OpenAI tools, AWS or GCP.

What will make you stand out:

  • Proficiency/Experience with web application development and maintenance as well as APIs.

  • Proficiency/Experience with Linux and open-source development tools.

  • Proficiency/Experience working with satellite and/or street view imagery

  • Previous involvement in UI/UX development or collaboration with UI/UX developers

What drives us:

  • Impact: we are driven by a shared mission to address a paramount challenge of our time

  • Resolve: we believe that hard work and resilience yield extraordinary outcomes

  • Urgency: we are motivated to outpace rapid urbanization and escalating disaster impacts

Why join RQ:

  • Opportunity to be involved in an early-stage startup and build the culture you want to see.

  • Chance to pioneer and disrupt one of the world's largest industries.

  • Experience firsthand the tangible impact of what you build.

Day to day:

  • Participate in product ideation and development.

  • Apply computer vision and other AI/ML techniques to harvest building data.

  • Find and merge dissimilar datasets.

  • Write, test, document, and review code according to RQ’s development standards that you would help to define.

  • Develop and maintain the backend software products.

What we offer:

  • Competitive salary commensurate with experience

  • Equity in the company as a founding member

  • Vibrant tech startup environment

  • Competitive company 401(k) program with company matching

  • Health insurance

  • Weekly team meals

  • Working on the challenge of our generation with other passionate people

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