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Perception Research Engineer, Senior Staff
2 months ago
**About Plus**
Plus is a leading provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. As a company recognized by Forbes as one of America's Best Startup Employers and Fast Company as one of the World's Most Innovative Companies, Plus's open autonomy technology platform is already powering vehicles in commercial use today.
**Our Mission**
We are committed to making driving safer, more comfortable, and more sustainable. We work with leading companies in the U.S. and globally to bring our transformative technology to the forefront.
**Job Summary**
We are seeking a talented Research Engineer to join our Perception team. As a key member of our team, you will collaborate with other engineers to develop algorithms that enable the autonomous vehicle to better understand its environment.
**Responsibilities**
- Develop multi-modal multi-view multi-task end-to-end deep learning models to solve various perception objectives like object detection and tracking, lane segmentation, scene understanding, traffic light and traffic sign detection.
- Take ownership of projects from ideation to deployment, ensuring all model development is efficient and operates in real-time.
- Research and prototype novel solutions to tackle real-world problems in challenging scenarios.
- Ensure all model development is rigorous, with well-designed experiments, suitable training and validation datasets, and evaluation on the right metrics.
**Requirements**
- MS or PhD in CS, EE, mathematics, statistics, or a related field.
- 3+ years of experience.
- Expertise with Python, with willingness to do some C++ development as needed.
- Deep understanding of machine learning principles and methodologies.
- Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax).
**Preferred Skills**
- Relevant industry experience (prior work on self-driving vehicles, autonomy, computer vision, and/or robotics projects).
- Past experiences in deep learning projects involving object detection, motion tracking, or semantic segmentation.
- In-depth understanding of cutting-edge deep learning techniques and architectures like transformers, CNNs.
- Expertise in machine learning or a related field demonstrated by patents or publications in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH).
- Experience or familiarity with vision-language models is a plus.
**What We Offer**
- Highly competitive salary and benefits package, including a 401(k) plan.
- Catered free lunch, unlimited snacks and beverages.
- Wide range of opportunities for personal and professional development.
- Work, learn, and grow in a highly future-oriented, innovative, and dynamic field.
