Machine Perception Engineer (Vision)
Quartermaster17 days ago
Davis, CA, USASenior / Staff+
Responsibilities
- Lead the design, training, and deployment of computer vision and perception models.
- Architect and optimize inference pipelines for real-time performance on edge devices.
- Implement algorithms for scene understanding and environmental awareness using sensor fusion.
- Collaborate with hardware and software teams for model compatibility with embedded systems.
- Develop techniques for edge-case detection and self-healing model behavior.
- Apply active learning and synthetic data strategies to improve model robustness.
- Integrate RF and sensor data into multimodal classification pipelines.
- Own model evaluation processes and benchmarking across hardware platforms.
- Maintain best practices for model versioning and validation in safety-critical applications.
Requirements
- Bachelor's, Master's, or PhD in Computer Vision, Machine Learning, Robotics, or related field.
- 8+ years of experience in applied perception or computer vision.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Experience with model optimization techniques such as pruning and quantization.
- Strong understanding of classical vision methods and modern deep learning.
- Familiarity with maritime or aerospace sensing applications is a plus.
- Experience with sensor fusion and multi-modal neural networks.
- Excellent problem-solving and software design skills.
- Strong communication skills to lead technical direction and mentor others.
Benefits
- Flexible working hours with occasional high-availability deadlines.
- Opportunity to work on innovative projects with a global impact.