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Machine Learning Engineer LLM Engineering

Machine Learning Engineer LLM Engineering

LiberateSan Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

About Us

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.

About the role

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

Location : Boston, MA or San Francisco, CA hybrid role, 2 days per week in-office

What Youll Do

  • 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.

What Were Looking For

  • Strong ML / NLP background with hands-on experience in LLMs.
  • Experience in working with Python, SQL.
  • Experience developing and deploying services and applications 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.).
  • How to Apply

    Interested in building your career at Liberate? Create a Job Alert to receive future opportunities by email.

    Accepted file types : pdf, doc, docx, txt, rtf

    Education

    School | Degree | Start date year | End date year | Do you require visa sponsorship now or in the future to legally work in the United States?

    LinkedIn Profile

    U.S. Standard Demographic Questions

    We invite applicants to share demographic information. Completion is voluntary and will not affect hiring.

    Gender identity | Racial / ethnic background | Sexual orientation | Transgender status | Disability status | Veteran status

    Voluntary Self-Identification

    Form CC-305, OMB Control Number 1250-0005, Expires 04 / 30 / 2026. Completing this form is voluntary and confidential.

    For more information on the OFCCP, visit .

    Equal Employment Opportunity : Liberate does not discriminate on the basis of protected status.

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