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Responsibilities:
- Design and maintain training systems for petabyte-scale datasets.
- Identify and resolve bottlenecks in the training pipeline.
- Work with the ML team to refine neural network architectures.
Qualifications:
- Master’s or PhD in Computer Science, Robotics, or related field.
- 5+ years of experience developing and deploying ML models.
- Experience training ML models across multiple GPUs.
What Makes You Stand Out:
- Experience resolving training bottlenecks related to compute utilization.
- Experience training ML models on robotics or autonomous driving datasets.
Serve Robotics
Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.