Applied Research Scientist, Perception (PhD New Grad)
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La posizione
Line 1: Own and scale tasks in perception-related ML workflows, developing methods to improve task performance and scalability.
Line 2: Analyze real-world ML behavior, identify root causes, and design short- and long-term remedies.
Line 3: Monitor systems in production and build AI-assisted tools for detecting issues or regressions.
Line 4: Develop and maintain metrics for safety-critical and long-tail perception issues.
Line 5: Collaborate with cross-functional teams, applying deep learning and computer vision techniques to large real-world datasets.
Line 6: Contribute to research and iterate on model improvements to strengthen the detector and its robustness.
Line 2: Analyze real-world ML behavior, identify root causes, and design short- and long-term remedies.
Line 3: Monitor systems in production and build AI-assisted tools for detecting issues or regressions.
Line 4: Develop and maintain metrics for safety-critical and long-tail perception issues.
Line 5: Collaborate with cross-functional teams, applying deep learning and computer vision techniques to large real-world datasets.
Line 6: Contribute to research and iterate on model improvements to strengthen the detector and its robustness.
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