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Blee

AI-driven marketing content governance platform

Applied Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of applied machine-learning or artificial-intelligence engineering experience.
  • Strong knowledge of agent-based architectures and orchestration frameworks.
  • Strong Python skills and proficiency with modern software engineering practices, including APIs, microservices, and distributed systems.
  • Experience with machine-learning frameworks, including PyTorch, TensorFlow, and Hugging Face.
  • Large language model experience with fine-tuning, prompt engineering, retrieval-augmented generation, and evaluation.
  • Background in data preprocessing, feature engineering, and training pipelines.
  • Production machine-learning experience with model serving, monitoring, A/B testing, and data pipelines.
  • Strong communication skills and ability to work cross-functionally.
  • For hybrid work, be based in the Bay Area or New York and be willing to come into the office 2–3 days a week.

Responsibilities

  • Architect and implement multi-agent systems integrating foundational large language models and custom-trained models for intelligent compliance workflows.
  • Build and optimize AI/ML pipelines, including model fine-tuning, prompt engineering, and evaluation frameworks.
  • Build mechanisms for transparent compliance flagging and traceability to prior rules, examples, or data assets.
  • Automate translation of compliance rules into agent-ready logic paths.
  • Design, train, and fine-tune models using user feedback and outcomes data to improve compliance accuracy and personalization.
  • Design model evaluation and monitoring infrastructure to ensure reliability and auditability across customer deployments.
  • Work with Product Engineers to integrate AI features through APIs, data pipelines, and frontend systems; partner with model-training engineers to incorporate feedback loops into system design; and collaborate with compliance users to translate complex rules into agent workflows.
  • Prototype and apply new AI/ML techniques to the platform.

About the Company

Blee

AI-driven marketing content governance platform

Blee is an AI-first marketing compliance platform that helps legal, compliance, and brand teams review, approve, and monitor marketing, product, and sales content against regulatory, internal, and brand rules. The platform ingests or generates content, applies policy-based checks, and routes items through collaborative review workflows with an auditable trail. It acts as a centralized system of record for enterprise content governance, offering end-to-end auditability and scalable collaboration for large teams across North America and Europe. Its goal is to help teams keep all content compliant over time, including AI-generated material, before it goes live and as it continues to be monitored.

Company size
11-50
Company stage
Series A
Total funding
$20.8M
Headquarters
New York City, New York
Founded
2022

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