AIML - Senior ML Engineer, Responsible AI and Safety

What you'll do

• Shape safety policies and mitigation and alignment strategies with cross-functional stakeholders; integrate safeguards into production.
• Develop models, tools, datasets, and evaluation methods to monitor failures and improve generative-model safety throughout deployment.
• Use human and automated feedback to assess real-world impact and continuously improve safety after launch.

What they ask for

• 3+ years of machine-learning experience, including generative models, NLP, or computer vision.
• Proficiency in Python and data science libraries such as Pandas, with data analysis, visualization, and applied ML workflow skills.
• Experience designing and supporting human and automated evaluations; collecting and analyzing language, vision, or multimodal datasets.
• Background in failure analysis, quality engineering, or robustness testing for ML systems; must be comfortable working with sensitive or potentially offensive content.

Nice to have

• BS, MS, or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• Experience shipping complex AI systems at global scale; background in explainability, uncertainty estimation, interpretability, fairness, or bias.

Pay

$184,700 and $324,800 USD base salary; $175,000 and $308,500 USD base salary

Tools

Python, Pandas, Transformers, LLMs, VLMs, NLP, Computer Vision

AI focus

Responsible AI and safety for generative models, including policy, risk mitigation, alignment, evaluation, monitoring, fairness, robustness, uncertainty, and post-launch improvement.