ML Engineer - AI Platform

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Requirements:

• Expertise building infrastructure for AI/ML model development in industry.
• Experience in software development in Python; experience in languages like C/C++ is nice to have but not required.
• Expertise working closely with AI researchers on applied AI projects to build high quality models in a fast paced environment.
• Expertise improving datasets and evaluation metrics for applied ML projects.
• Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.
• Experience communicating and working across functions to drive solutions.

Responsibilities:

• Build data pipelines to collect high quality training and evaluation data for developing AI models.
• Build annotation pipelines to collect ground truth using humans and AI models in the loop.
• Collaborate closely with AI product engineers to define requirements for AI features.
• Collaborate closely with AI researchers to identify failure cases, improve data sets, evaluation metrics and hill climb quality of AI models.
• Work closely with AI infra engineers to build the right infrastructure for AI model development and inference.
• Explore the boundaries of what is possible with the current technology set and experiment with novel ideas.