Senior Applied Scientist: Multi-Agent AI for Compliance

Blee

San Francisco (CA)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Equity
Bi-annual off-sites
Medical, dental, vision
OneMedical access
Life insurance
401(k) + match
Flexible PTO
Learning opportunities

Job summary

Blee, an AI-first marketing content compliance platform, seeks an Applied Scientist to architect multi-agent systems and robust AI/ML pipelines. You will work with foundational and custom models to surface, track, and explain compliance signals, shaping the next generation of intelligent compliance.

In this role you’ll fine-tune models, engineer prompts, and evaluate performance while collaborating with product and compliance teams.

Qualifications

  • 5+ years of applied ML/AI engineering experience.
  • Strong knowledge of agent-based architectures and orchestration frameworks.
  • Strong Python; proficiency with APIs, microservices, distributed systems.
  • ML frameworks including PyTorch, TensorFlow, Hugging Face.
  • LLM experience: fine-tuning, prompt engineering, RAG, evaluation.
  • Background in data preprocessing, feature engineering, and training pipelines.
  • Production ML: model serving, monitoring, A/B testing, data pipelines.

Responsibilities

  • Architect multi-agent systems – design frameworks that integrate foundational LLMs and custom models to power intelligent compliance workflows.
  • Build and optimize AI/ML pipelines – fine-tuning, prompt engineering, evaluation frameworks.
  • Ensure explainability and traceability – create mechanisms for transparent flagging linked to rules and data assets.
  • Automate compliance rule translation – transform rules into agent-ready logic paths.
  • Design, train, and fine-tune models – improve accuracy using user feedback and outcomes data.
  • Design model evaluation and monitoring infrastructure – ensure reliability and auditability across deployments.
  • Collaborate cross-functionally – work with Product Engineers to integrate AI features via APIs and data pipelines.
  • Stay current on AI/ML advances – prototype new techniques for the platform.

Skills

Agent-based arch
Python
ML frameworks
LLM fine-tuning
Data preprocessing
Production ML
Cross-functional
Communication
Bay Area/NY location

Job description

Blee, an AI-first marketing content compliance platform, seeks an Applied Scientist to architect multi-agent systems and robust AI/ML pipelines. You will work with foundational and custom models to surface, track, and explain compliance signals, shaping the next generation of intelligent compliance.

In this role you’ll fine-tune models, engineer prompts, and evaluate performance while collaborating with product and compliance teams.

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