2024-07-24T16:10:14-04:00 X, The Moonshot Factory
Lead Research Scientist - Early Stage Project
Software Engineering
Mountain View, CA

About the Team:

We are a team of engineers, scientists, and designers dedicated to transforming the real estate development and construction process, and unlocking a revolution between how we understand the relationship between the built and natural world. We’re pioneering the development of foundational AI technology aimed at revolutionizing traditional real estate development and construction practices. 

Our focus lies in leveraging cutting-edge AI solutions to address complex challenges encountered throughout the real estate development pipeline, driving innovation and efficiency in the industry.

About the role:

This is an opportunity to come in at the ground level for an early stage team innovating quickly at the intersection of AI, real estate development, and AEC. We are pushing the boundaries of what is possible in a rapidly evolving field, working with customers to solve real-world problems with state-of-the-art AI. There is no playbook here. You’ll need to identify the opportunities and help create the products that transform this space.

As our Principal Research Scientist, you'll collaborate with a team of scientists and engineers to develop the next generation of our core technologies. This is a ground-breaking research position where you'll have the freedom to explore ambitious ideas and make a real impact on the future of the real-estate industry.

How you’ll make 10X impact:

  • Lead the team’s R&D efforts to develop the next generation of our core technologies
  • Conceptualize, prototype, and evaluate novel ML/AI algorithms and architectures, validating their potential to transform multiple aspects of real estate development.
  • Deepen your understanding of the real estate development and AEC domains, proactively identifying opportunities to push the boundaries of AI applications.
  • Work closely with product teams to ensure scalable, performant implementation and deployment of new technologies
  • Mentor and foster the growth of other engineers and scientists 
  • Contribute to developing a strong research culture in an early-stage team, balancing fundamental research with applied exploration for real-world impact.

What you should have:

  • PhD  in computer science, math, physics, or another relevant field.
  • Proven experience in deep learning research and development, including experience with architecture development, model training, fine-tuning, and evaluation in relevant domains.
  • A record of prior publication in academic conferences and journals in relevant areas.
  • Exceptional problem-solving and analytical skills, able to translate complex research into practical solutions for real-world challenges in the real estate domain.
  • Experience applying machine learning to real-world problems, preferably in the real estate, AEC, or GIS domain.
  • Software development proficiency
  • Strong communication skills, and a background working directly with domain experts to understand and translate their needs into research problems and solutions.

It’d be great if you also have these:

  • Experience in a research leadership role.
  • Experience in a technical role in one or more GIS, real estate, or AEC fields
  • Previous startup experience (i.e. you know how to build, test and learn quickly)
  • A passion for sustainable and equitable housing solutions

The US base salary range for this full-time position is $189,000 - $302,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. 

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.

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If you have a disability or special need that requires accommodation, please contact us at: x-accommodation-request@x.team.

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