Machine Learning Engineer
RoboflowFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid and based in Toronto, San Francisco, or Dallas.
This information is not specified in the job description.
Required skills include experience with deep learning frameworks like PyTorch, proficiency in Python, Rust, C++ and/or CUDA, solid understanding of computing fundamentals and code efficiency, plus experience in ML-based or classical planning techniques.
Waabi seeks diverse, innovative, and collaborative candidates to join their world-class team, emphasizing an innovative approach to self-driving technology.
An MS/PhD in machine learning, computer science, engineering, or a related field is required, though exceptional Bachelor’s students will also be considered.
Develops self-driving technology for trucking
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.