Peregrine Technologies GmbH - Video Analytics - Computer Vision und Maschinelles Lernen
We improve traffic safety by bringing perception capabilities of self-driving cars to smartphone cameras and behind windshields of commercially used vehicles.
Peregrine is a Berlin-based AI tech start-up improving road safety and minimizing transportation CO2 emissions in cities. Therefore, we create a new quality of information from street-level video data by deriving context from traffic scene imagery. This empowers commercial fleets to operate safer and more efficient today and the autonomous mobility solutions of tomorrow. As traffic is a highly complex environment for pedestrians, drivers, and vehicles, Peregrine’s vision is to build the next generation of traffic video analytics for: Zero accidents. Zero emissions. Zero barriers.
Our diverse and international team brings together academic excellence and industry experience in robotics and autonomous driving from both Silicon Valley as well as from Europe - including leading automotive OEMs and suppliers such as Bosch, Volkswagen, HERE, and TomTom. We’re looking for smart, driven and passionate people motivated to solve hard problems. Are you ready to join us on this mission?
As part of our Peregrine team, you contribute to our core image processing and analytics pipeline. The core components run on embedded systems (basically smart cameras behind the windshield) and derive the context and understanding from traffic scene imagery.
You are studying a MSc in the fields of Mathematics, Physics, Computer Science or related fields and have interned in a tech company before.
You have experience in in making sense of the dynamic 3d world from a camera in motion (helpful key technologies: multiview geometry, structure from motion, visual odometry, visual SLAM, 3d reconstruction, calibration, ...) through projects, internships and/or working student positions
Knowledge of robust methods and estimation techniques (filtering, Kalman/ particle filter, RANSAC ...)
Experience with writing C++ code for embedded devices (compute capabilities comparable to smartphone), where power consumption and fault-tolerance are very important topics
Experience in Git
Strong drive to deliver code in the highest quality
You have strong organisational skills and are capable of independently driving your own projects
Embody a collaborative, team first mindset
You are a quick learner and find it easy to assess complex problems, which you solve in a structured and pragmatic manner.
You are fluent in German or English and have excellent communication skills
Additional nice-to-have skills that will be an advantage:
You have knowledge in sensor data fusion and world modeling
You have knowledge in tasks tracking and knowledge sharing tools such as Redmine, Confluence, Jira, Trello or similar.
You have some experience with software development using machine learning concepts, computer vision algorithms, Android mobile development or embedded systems.
We don’t expect anyone to check all these boxes mentioned above! If a few of these points apply to you, we definitely want to talk!
What we offer:
We are committed to having a diverse and inclusive work environment as well as a flat organizational structure which promotes open communication. We value new opinions and ideas from all members of our team and foster a culture where we all learn from each other. We celebrate people of diverse backgrounds, experiences, abilities and perspectives. We encourage active participation in our design, innovation and development process. We support you to become a better developer by providing you with advice from experienced developers (15+ years), or books such as "The Clean Coder: A Code of Conduct for Professional Programmers" (Pearson, May 2011) and "Clean Code" (Prentice Hall, August 2008) written by Robert C. Martin.
And of course we offer free drinks and snacks and flexible working time because we aim to create the working environment that we envision for ourselves, for everyone at Peregrine.
Notes on working at Peregrine in times of COVID-19:
The health of our team and their families has top priority. That’s why we have been choosing to work from home since mid of March 2020. Even more today, we want to enable the entire team to easily collaborate remotely as well as meet up for virtual social events.
Do you want to empower teams to build a safer and more sustainable mobility ecosystem for all using video analytics with us?