Lead the development and deployment of production-grade machine learning systems, shaping architecture and engineering standards while advising clients and mentoring engineers.
Senior Machine Learning Engineer, Perception
📜 Description
- Design, implement, and optimize BEV perception models that fuse camera, LiDAR, and radar inputs.
- Benchmark models on large-scale datasets using quantitative metrics.
- Collaborate with research, data, and deployment engineers to refine models for real-world applications.
- Optimize perception systems for performance, robustness, and production scalability.
- Follow QMS requirements and contribute to quality monitoring and process improvement.
🛠️ Requirements
- Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
- Ph.D. new grad or Masters + 3 years industry experience
- Proficiency in Python and experience building deep learning pipelines.
- Strong expertise in PyTorch, TensorFlow, or JAX.
- Proven experience with LiDAR-based 3D perception and BEV representation models
- Deep understanding of multimodal sensor fusion architectures and techniques.
- Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
- Solid foundation in computer vision, deep learning, and 3D geometry.
- Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
- Hands-on experience developing deep learning models in real-world or production environments.
✨ Benefits
- Catered free lunch.
- Unlimited snacks and beverages.
- Competitive salary and benefits package.
- 401(k) plan.
- Opportunities for personal and professional development.
Full job description
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