Liberate Inc.
Machine Learning Engineer – LLM Engineering Boston
Liberate Inc., Boston, Massachusetts, us, 02298
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 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 We’re Looking For
Strong ML/NLP background with hands-on experience in LLMs. Experience with Python and 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.). Liberate is an equal opportunity employer. We do not discriminate on the basis of any protected status as defined by applicable law. We encourage applicants from all backgrounds to apply.
#J-18808-Ljbffr
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 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 We’re Looking For
Strong ML/NLP background with hands-on experience in LLMs. Experience with Python and 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.). Liberate is an equal opportunity employer. We do not discriminate on the basis of any protected status as defined by applicable law. We encourage applicants from all backgrounds to apply.
#J-18808-Ljbffr