On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi.
We are looking for engineers to join our team and contribute in advancing our machine learning (ML) data pipelines. Our large-scale data pipelines are critical for efficient end-to-end ML development (e.g. data analytics, data transformation, model training, and model evaluation) of our on-car and off-car perception solutions.
What you'll be doing:
- Support the creation, maintenance, and optimization of our internal data, training & evaluation pipelines
- Participate in design reviews and code reviews of the said team-owned pipelines
- Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance..
What We're Looking for:
- Bachelor Degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field
- 2+ years of professional experience in software engineering
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Expertise in concurrency, parallel processing, and database systems.
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Bonus Points:
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Experience with deep learning frameworks such as Pytorch
- Experience with distributed computing frameworks like K8s and Ray.
- Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field or equivalent industry experience
