Own the evaluation framework and quality strategy for advanced AI and vision systems.
Define pass/fail metrics for output quality, structural fidelity, and operational repeatability.
Lead artifact auditing, failure taxonomy development, and release-quality reporting.

Qualifications and Experience:

Strong background in applied machine learning, computer vision, or perception-system validation.
Experience designing metrics for generative, simulation, or perception systems.
Master’s or PhD in Computer Science, AI, or related field with 5-8 years of experience.

Nice to Have:

Familiarity with video quality metrics, structural similarity, and temporal consistency checks.
Experience with synthetic-to-real transfer and data curation strategy.
Background in simulation, autonomous systems, or geospatial AI.

Here Technologies

HERE Technologies is a location data and technology platform company that empowers customers to improve outcomes from city infrastructure to driver safety. With a global team and a focus on innovation and inclusion, they foster a collaborative culture dedicated to positive change.

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