About the Role
The Senior Machine Learning Engineer will lead the design, development, and deployment of complex machine learning systems, focusing on computer vision and perception for autonomous systems. This role involves working on critical defense applications and mentoring junior engineers.
Responsibilities
- Lead the end-to-end development cycle of machine learning models from research to production.
- Design and implement advanced computer vision algorithms for object detection, tracking, and recognition.
- Optimize ML models for real-time performance on embedded systems.
- Mentor junior engineers and foster best practices in ML engineering.
- Collaborate with hardware and software teams to integrate ML solutions into products.
Requirements
- Bachelor's or Master's degree in Computer Science, Robotics, or a related quantitative field.
- 5+ years of experience in machine learning, with a strong focus on computer vision.
- Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with real-time systems and embedded platforms.
- Proven track record of deploying ML models into production.
Qualifications
- Ph.D. in a relevant field.
- Experience with sensor fusion (LiDAR, Radar, Camera).
- Contributions to open-source ML projects.