Staff Research Engineer, Perception

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named 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. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Responsibilities

• Collaborate with other members of the Perception team to develop algorithms that can enable the autonomous vehicle to better understand its environment.
• Develop multi-modal multi-view multi-task end-to-end deep learning models that can help solve various perception objectives like object detection and tracking, lane segmentation, scene understanding, traffic light and traffic sign detection.
• Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment.
• Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc).
• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.
• Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics.

Required Skills:

• MS or PhD in CS, EE, mathematics, statistics or related field.
• 3+ years of experience.
• Expertise with Python, 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 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.

Salary Range:

• $160,000 - $200,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.
Your opportunities joining PlusWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan.