- Lead Responsible AI efforts for a global generative AI product in a highly cross-functional environment- Define safety policies in collaboration with leadership design engineering legal and regulatory teams ensuring alignment with product goals- Architect mitigation and safety alignment strategies for generative models and drive integration in production- Develop models tools datasets and evaluation methods to monitor diagnose failures and improve the safety of generative models throughout the model deployment lifecycle- Incorporate human and automated feedback postlaunch to continuously improve feature safety and user trust
3 years of proven ability in machine learning including work with generative models (Transformers LLMs VLMs) NLP or Computer Vision
Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis visualization and applied ML workflows
Excellent interpersonal skills and proven ability to translate sophisticated technical insights for crossfunctional partners senior leadership and executives
Strong analytical and independent problem-solving skills with ability to navigate ambiguity
Experience designing and supporting human and automated evaluations particularly with complex nuanced or multilabeled data
Handson experience collecting and analyzing language vision or multimodal datasets
Background in failure analysis quality engineering or robustness testing for MLdriven systems
Comfortable working with sensitive or potentially offensive content
BS MS or PhD in Computer Science Machine Learning or related field or equivalent experience
Proven success contributing in a highly crossfunctional environment
Experience shipping complex AI systems at global scale
Background in model explainability uncertainty estimation or interpretability
Curiosity and research interest in fairness bias and the societal impacts of generative AI
Passion for building innovative highimpact products that draw upon interdisciplinary skills
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