Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Are you passionate about developing ML models for real world robotic applications? At Intrinsic, we deploy and run heavy ML perception models on prem to enable flexible industrial applications. Accelerated inference is a key for meeting industrial requirements in terms of cycle time. We are looking for highly talented and motivated interns with a strong background in machine learning and computer vision to contribute to the exploration and benchmarking of edge accelerators to unlock higher cycle time in robotics applications.
You will work closely with our ML infrastructure team to evaluate state of the art ML architectures and integrate the ML inference models into the firmware. Part of your responsibilities will be optimizing and productizing edge ML models to support robotics automation solutions. Your job will require understanding the challenges in productizing computer vision models in edge computing starting with datasets, model conversions to run on edge, and integration of the models and deployment to production.
At Intrinsic, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at: [email protected].
