Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE

What you'll do

• Lead, mentor, and develop a team of machine learning engineers and set technical direction for responsible AI.
• Define safety policies and oversee dataset design, alignment strategies, and production mitigation architectures.
• Analyze evaluation results and failures, using human and automated feedback to improve safety before and after launch.

What they ask for

• 5+ years of machine learning experience, including generative models, NLP, or computer vision, and 2+ years directly managing engineering teams.
• Track record leading technical teams through ambiguity to deliver high-quality, high-impact results.
• Proficiency in Python and data science libraries (e.g. Pandas), with data analysis, visualization, and applied ML workflow skills.
• Experience interpreting human and automated evaluations and collecting and analyzing language, vision, or multimodal datasets.

Nice to have

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

Pay

$206,200 and $356,400 (base salary); $195,700 and $338,400 (base salary)

Tools

Python, Pandas, Transformers, LLMs, VLMs

AI focus

Responsible AI safety for generative AI: risk assessment, policy, alignment, evaluation, monitoring, and mitigation for large language and multimodal models.