Senior Machine Learning Engineer – LLM Engineering

Liberate is reimagining how the $2.7T insurance industry works. By starting with voice, the most valuable and complex channel in insurance, the company proved that even the hardest problems can be automated. Now expanding into full workflow automation across sales, servicing, and claims, Liberate is building toward a bold vision: reasoning agents capable of managing the entire spectrum of carrier and broker operations. Trusted by leading brokers and carriers and powered by a team with experience at Metromile, Google, Stripe, and other category-defining companies, Liberate is shaping the future of insurance.

We’re looking for a Machine Learning Engineer to help us push the boundaries of LLM-powered conversational AI and automation pipelines for insurance related tasks.

*Hybrid role requiring 2 days per week in Berkeley or Boston. Candidates should be based in Boston or the San Francisco Bay Area, or willing to relocate.

• Build LLM-driven pipelines for information extraction and workflow automation in insurance.
• Develop multi-turn, long-context agents that work seamlessly across modalities (voice, text, email).
• Fine-tune and deploy models to deliver accurate, compliant, and high-impact solutions.
• Work with cutting-edge speech, NLP, and multimodal AI technologies.
  

• 2+ years experience in ML and NLP, with hands-on development and deployment of LLM-based systems..
• Experience in working with Python, SQL
• Experience of developing and deploying services and application using AWS  
• Experience with conversational AI, speech-to-text, or text-to-speech systems.
• Post training methods for LLMs such as supervised fine tuning and preference optimization
• Nice to have: 
• PyTorch/TensorFlow
• Working knowledge of AI frameworks (Hugging Face, LangChain, etc.).

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