Yembo’s AI Team is hiring an AI Research Scientist with a strong background in geometric and deep learning methods for 3D reconstruction. In this role, you will prototype and develop solutions for 3D reconstruction from in-the-wild video capture. You will advance the state of the art and ship production code to millions of customers. This is a remote, full time opportunity based in North, Central, or South America.
Do you want your hard work to make an impact?
Do you enjoy building technology that solves real problems?
Do you relish the opportunity to work in a lean and fast moving team?
If you answered yes to those questions, we invite you to consider joining Yembo!
At Yembo, we are united around our mission to bring revolutionary technology to traditionally boring home services industries. We have already disrupted the moving industry, and are now bringing our products to market for property insurance.
The AI Team is Yembo's product-driven source of innovation. As a Research Scientist, you will play a critical role in developing the technology that powers our products. If you are excited to use your skills to transform the industries that big tech forgot, we would love for you to join our team!
Yembo maintains a culture of excellence -- we are looking for candidates who want to make an impact on Day One
Yembo offers highly competitive salaries -- we make sure our employees are well compensated for their hard work
Yembo gives you the chance to fast track your career -- you will not be a cog in the machine
For more Yembo, follow us on LinkedIn and feel free to tweet to our CEO!
IC4 (PhD / MS + 3 years experience): $156,000
IC5 (PhD + 2 years experience / MS + 5 years experience): $185,000.
Yembo is proud to be an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment, as Yembo does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, state, or local law.
Yearly based