Machine Learning Engineer – LLM Engineering

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

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.

Location : Boston, MA hybrid role, 2 days per week in-office

What You’ll 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

PyTorch / TensorFlow

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary and will not affect hiring decisions. Any information provided will be kept confidential.

As set forth in Liberate’s Equal Employment Opportunity policy, we do not discriminate on the basis of protected status under applicable law.

We welcome candidates from all backgrounds and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.

Disability Status and Additional Information

OMB Control Number 1250-0005; Expires 04 / 30 / 2026. Public burden statement : This survey should take about 5 minutes to complete.

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