Staff Machine Learning Engineer (Dynamic World Perception)
Stack AV
full-remoteleadpermanentbackendfullstackother Full remote 73 days ago via WTTJ
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Machine LearningDeep LearningC++PythonSensor FusionRobotics PerceptionObject DetectionReal-time SystemsData PipelinesOnboard Deployment
About the role
Role overview
Join the Dynamic World Perception team as a Staff Machine Learning Engineer. You will lead long-range detection development and enhance perception capabilities to meet safety and performance standards, while driving cross-functional workstreams and technical direction.
Responsibilities
- Lead the development, maintenance, and enhancement of long-range detection capabilities.
- Deliver state-of-the-art closed- and open-world detection capabilities.
- Expand and fuse existing detection models.
- Improve model frameworks and data pipelines.
- Develop robust onboard deployment software, optimized for real-time, resource-constrained, and safety-critical environments.
- Drive cross-functional features/workstreams and align stakeholders through strong communication and presentation.
Requirements
- Strong experience in software engineering and ML algorithm design.
- Experience delivering detection, segmentation, and/or tracking for real-time robotic applications.
- Extensive experience architecting, training, and deploying deep learning models in real environments.
- C++ experience.
- Fluency in Python.
- Proven track record taking applied research from conception and problem definition through experimentation and iteration to publication or productization.
Nice to have
- Prior experience with sensor fusion (highly desirable).
About Stack AV
Stack AV builds autonomous driving and robotic perception capabilities, with a focus on safety- and performance-critical long-range detection. The company operates in the self-driving/robotics domain, applying machine learning and real-time software engineering to enable onboard vehicle deployment.
Scraped 5/13/2026