Staff Machine Learning Engineer, Community Support

Key Responsibilities

• Design and develop large‑scale feedback loops that collect, label, and incorporate user interactions to continuously improve generative AI outputs.
• Build and maintain pipelines for fine‑tuning large language models, ensuring alignment with community standards and safety guardrails.
• Collaborate with product, security, and policy teams to define guardrail criteria and translate them into measurable model constraints.
• Implement monitoring, evaluation, and automated remediation systems to detect and mitigate unsafe or biased model behavior in real time.
• Mentor senior engineers and drive best practices for reproducible experiments, model versioning, and scalable deployment.

Requirements

• 5+ years of hands‑on experience building production‑grade machine‑learning systems, preferably with large language models.
• Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
• Demonstrated expertise in model fine‑tuning, reinforcement learning from human feedback, and AI safety/guardrail techniques.
• Experience designing data pipelines for feedback collection, annotation, and continuous model improvement.
• Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑moving environment.