Liberate Inc.
Senior Data Scientist – GenAI New Toronto, ON
Liberate Inc., Boston, Massachusetts, us, 02298
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 an experienced
Data Scientist
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
Work with data scientists to design, architect, and build Gen-AI conversation pipelines across modalities (chat, voice and sms) and systems based on multi-agent orchestration, RAG, etc.
Design and implement scalable evaluation pipelines to assess enterprise-level AI/ML solutions for performance
Partner with machine learning engineers to deploy, operate, and optimize scalable solutions
Collaborate with product managers to design user journeys, feedback loops, and analyze user telemetry
Develop and implement end-to-end AI/ML product experience in the insurance domain
What We’re Looking For
Demonstrated success in building and scaling GenAI and Agentic AI solutions in a professional environment at scale.
Strategic thinker and hands-on builder, able to set high-level architectural vision and dive deep into optimization when needed.
Thrive in fast-paced, ambiguous environments and enjoy turning complexity into clear action.
5+ years of industry experience with a proven track record of ownership and delivery of ML/AI-based models/solutions in production environments.
Ability to execute trustworthy AI/ML practices in collaboration with stakeholders across the enterprise.
Strong communication skills, including the ability to share product innovations through publications, presentations, and other mediums.
Proficiency in machine learning algorithms and evaluation frameworks
Deep learning frameworks
Supervised Finetuning of LLMs
Preference Optimization for domain adaptation in LLMs
We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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About the role We’re looking for an experienced
Data Scientist
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
Work with data scientists to design, architect, and build Gen-AI conversation pipelines across modalities (chat, voice and sms) and systems based on multi-agent orchestration, RAG, etc.
Design and implement scalable evaluation pipelines to assess enterprise-level AI/ML solutions for performance
Partner with machine learning engineers to deploy, operate, and optimize scalable solutions
Collaborate with product managers to design user journeys, feedback loops, and analyze user telemetry
Develop and implement end-to-end AI/ML product experience in the insurance domain
What We’re Looking For
Demonstrated success in building and scaling GenAI and Agentic AI solutions in a professional environment at scale.
Strategic thinker and hands-on builder, able to set high-level architectural vision and dive deep into optimization when needed.
Thrive in fast-paced, ambiguous environments and enjoy turning complexity into clear action.
5+ years of industry experience with a proven track record of ownership and delivery of ML/AI-based models/solutions in production environments.
Ability to execute trustworthy AI/ML practices in collaboration with stakeholders across the enterprise.
Strong communication skills, including the ability to share product innovations through publications, presentations, and other mediums.
Proficiency in machine learning algorithms and evaluation frameworks
Deep learning frameworks
Supervised Finetuning of LLMs
Preference Optimization for domain adaptation in LLMs
We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
#J-18808-Ljbffr