Job Description
Summary
As an ML QA Manager, you will be responsible for managing a team of ML QA engineers dedicated to evaluating the performance and quality of machine learning models used in our photo and video editing features. You will play a critical role in maintaining the high standards of our products by developing and implementing robust testing frameworks, leading testing efforts, and collaborating closely with cross-functional teams. This role requires a deep understanding of machine learning, quality assurance, and leadership skills to drive the team towards excellence.
Description
Minimum Qualifications
- Significant management experience as a Software Quality Assurance Manager in an ML-focused environment.
- Established pattern of building strong teams – attracting, hiring, motivating, and retaining the best engineers.
- Solid understanding of NLP and LLM\'s, machine learning concepts, algorithms, and model evaluation techniques.
- Strong analytical and problem-solving skills, with the ability to analyze complex ML models and identify potential issues.
- Persistent and inquisitive problem solver, committed to driving quality forward.
- Proficient at balancing multiple efforts simultaneously and meeting strict deadlines.
Preferred Qualifications
- Ideally 5+ years as a Software Quality Assurance Manager.
- Understanding of generative AI and experience in using Gen AI for various applications
- Proficient in Python and/or Swift or comparable languages.
- Preferred understanding of photography, video, and in-depth knowledge of image processing algorithms and related statistical metrics.
- Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
- iOS and macOS familiarity.