Key skills
Deep learning modelsReal-time robotic applicationsSoftware engineeringPythonC++Sensor fusionCommunication skillsCAIMachine LearningMLDeep LearningCommunication
About this role
Stack AV is developing revolutionary AI and advanced autonomous systems to enhance safety and efficiency in the trucking transportation industry. They are seeking a Staff ML Engineer to lead the development of real-time detection capabilities for road actors and properties, ensuring safety and performance standards are met or exceeded.
Responsibilities:
- Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities
- Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range
- Contribute to improvement of model frameworks, architecture, and data pipelines
- Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments
- Drive highly cross-functional features and workstreams from problem statement to delivery
- Contribute to the technical direction of the team and broader perception org
- Align stakeholders with strong presentation and communication skills
- Lead challenging technical topics and build consensus
Requirements:
- Extensive experience architecting, training, and deploying deep learning models into real-world environments
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
- Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications
- Strong experience in software engineering and machine learning algorithm design
- Fluency in Python
- Experience with C++
- Prior experience in sensor fusion is highly desirable