Note: The job is a remote job and is open to candidates in USA. Stack AV develops AI and autonomous systems for the trucking transportation industry. The Staff ML Engineer will lead the development, maintenance, and enhancement of long-range dynamic-world perception capabilities, including detection models and occupancy networks, while ensuring safety and real-time performance standards. The role also drives applied research, cross-functional delivery, and technical direction for perception systems.
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
Skills
- 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. Prior experience in sensor fusion is highly desirable
- Strong experience in software engineering and machine learning algorithm design
- Fluency in Python
- Experience with C++
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