Senior Software Engineer, Machine Learning
Standard Bots- Full Time
- Senior (5 to 8 years)
The ideal candidate should possess an MS/PhD in computer science or a related field, along with a strong publication record in top-tier conferences such as ICCV, CVPR, or ECCV. Fluency in Python and experience with deep learning frameworks like PyTorch or Jax/TensorFlow are essential, as are solid software engineering principles including design patterns, source control, code reviews, and testing methodologies.
This Software Engineer will develop core data products by leveraging and adapting multi-modal foundation models through techniques such as fine-tuning, retrieval-augmented generation, in-context learning, and continual pre-training. They will contribute to large-scale mining workflows to surface rare objects, model errors, and long-tail events, and conduct statistical analysis of model performance in diverse driving scenarios.
Develops fully driverless robotaxis for urban transport
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.