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Serve Robotics
Lead Machine Learning Engineer
Remote · Canada, USA · Full time · Senior level
$225k–$260k / year
About the role
Develop and scale large-scale machine learning training systems for multimodal robotics data. Optimize distributed training pipelines and collaborate with ML researchers and infrastructure teams to improve autonomy models.
What you’ll do
• Design and maintain training systems for petabyte-scale multimodal datasets. • Identify and resolve bottlenecks to maximize GPU utilization. • Develop and refine neural network architectures for autonomy tasks. • Configure and maintain large-scale distributed training jobs. • Analyze training metrics and guide model improvements.
What you’ll bring
• Master’s or PhD in related technical discipline. • 5+ years experience in ML model development and deployment. • Experience with distributed training frameworks and large datasets. • Strong Python programming skills. • Knowledge of neural networks, optimization, and training methodologies.
Life at Serve Robotics
Agile, diverse, and driven team focused on collaborative and respectful problem solving.
About Serve Robotics
Serve Robotics develops personable sidewalk robots to improve urban deliveries, benefiting merchants and customers in multiple US cities.