Lead Machine Learning Engineer at Serve Robotics (Ahuntsic)

Drive innovation in autonomous systems with Serve Robotics as a Lead Machine Learning Engineer. This role entails developing large-scale machine learning systems for efficient robotic deliveries, enhancing urban mobility. Serve Robotics seeks a Machine Learning Engineer to design and optimize training systems for multimodal datasets. You will work on neural network architectures, streamline data processing workflows, and collaborate closely with researchers to improve model performance. This position is vital in advancing robotic deliveries across major US cities. Key Responsibilities: • Design training systems for petabyte-scale multimodal datasets • Resolve bottlenecks in data loading and model computation • Collaborate with the ML team on neural network architecture • Create effective loss functions for complex multimodal inputs • Maintain stability of large-scale distributed training jobs Requirements: • Master’s or PhD in Computer Science or related field • 5+ years in deploying machine learning models • Experience with multiple GPUs and distributed training • Proficient in Python for data pipelines • Solid understanding of neural networks and optimization Apply your expertise in machine learning and robotics to create impactful solutions at Serve Robotics. Apply on Kit Job: kitjob.ca/job/2pbks2