Research Engineer, Perception

Responsibilities:

• Collaborate with other members of the Perception team to develop algorithms that can enable the autonomous vehicle to better understand its environment.
• Develop and maintain multi-modal, multi-view, multi-task end-to-end deep learning models that can help solve various perception objectives like object detection and tracking, and scene understanding.
• 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.
• 2+ 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 and maintaining deep learning pipelines.
• Experience working on deep learning models in at least one deep learning framework (PyTorch, Tensorflow).

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.
• Experience or familiarity with vision transformers is a plus.

Salary Range

• $150,000 - $190,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.