Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The US yearly salary range for this role is $155,000 - $213,000 USD in addition to competitive perks & benefits.
This information is not specified in the job description.
Required skills include proficiency in Python programming, strong software engineering fundamentals with experience writing high-quality code, experience in data processing pipelines, ETL pipelines, distributed computing, and understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
Waabi seeks diverse, innovative, and collaborative candidates who want to impact the world positively, with a world-class multidisciplinary team of scientists and engineers focused on engineering excellence.
A strong candidate has an MS/Bachelors degree with 4+ years of industry experience in Computer Science or Machine Learning, is proficient in Python with strong software engineering skills, has experience in data pipelines and distributed computing, and is an open-minded, collaborative team player passionate about self-driving technologies.
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.