Data Science & Machine Learning, Systems Architecture & Engineering
5 - 7 years
n This Role, You Will:
Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning to perception problems at scale.
Carefully execute deep learning experiments designed to (i) provide new functionality for customers, such as intent modeling or depth perception or to (ii) address relevant corner cases in the system as a whole.
Work closely with software and autonomous vehicle engineers to deploy your algorithms on internal and customer vehicle platforms.
We're Looking for Someone Who:
Has a sense of practical optimism. Robust perception is a difficult scientific problem, and many experiments do not work- however, the ones that do more than make up for it.
Is comfortable operating under uncertainty to get to the desired result at any cost.
Is a thoughtful, methodical, careful experimenter.
Has experience customizing neural networks with Tensorflow or PyTorch.
Is fluent in Python.
Has general experience with numerical algorithms in Matlab, Python, or Julia.
Has earned a graduate degree in mathematics, computer science, or a related field (this is strongly preferred, but not required for an otherwise truly exceptional candidate).
Has 4 years of industry experience in a data science or engineering position.
Is located in the Bay Area (remote is ok for exceptional candidates).
The opportunity to work on one of the most interesting, impactful problems of the decade.
The opportunity to collaborate with a team from top institutions like Harvard, MIT, Stanford, Caltech, Google, Stripe, Quora, and more.
The exciting environment of a fast growing tech startup.
Great medical, vision, and dental insurance options.
Assorted perks, including: daily in-office free dinner, gym-membership stipend, yearly company retreats (post-COVID), 401k management, custom workstation setup, and more to come as we scale the team.