Lendbuzz Inc.
At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
We are seeking a highly skilled and motivated
AI Research Scientist
with a
PhD in relevant field
to lead our initiatives in
conversational AI
and
agentic AI systems . In this role, you will drive the research direction, technical strategy, and execution of next‑generation intelligent agents across the organization. You will work closely with engineering, product, and leadership teams to develop, evaluate, and deploy innovative AI capabilities that power real‑time, high‑impact user experiences. This position is a hybrid role based in
Boston, MA , requiring
3 days onsite . Key Responsibilities:
Research Leadership & Technical Direction Lead research and development for conversational AI, agentic AI, and multi‑step reasoning systems Explore and prototype novel architectures, algorithms, and interaction paradigms across text, voice, and multi‑modal interfaces Define technical roadmaps, research priorities, and model evaluation strategies for agent behaviors, tool‑use workflows, and context management Modeling & System Development
Develop agent frameworks including prompt architectures, retrieval systems (RAG), planning modules, and tool orchestration pipelines Build robust real‑time systems including voice streaming, low‑latency inference, and continuous context tracking Design, fine‑tune, and deploy LLM‑based and multi‑modal models using internal infrastructure, REST APIs, and microservices Run systematic experiments to evaluate model quality, reliability, reasoning, and user experience Analyze conversational data, agent behavior traces, and performance metrics to guide iterative improvements Develop benchmarking protocols, simulation environments, and evaluation tooling for agentic workflows Data & Infrastructure Ownership
Build and curate high‑quality datasets for training and evaluation, including preprocessing, labeling workflows, and data governance Ensure data accuracy, reproducibility, and rigor across the research lifecycle Collaborate with backend and ML infrastructure teams on scalable deployment, monitoring, and optimization of agentic systems Cross‑functional Collaboration
Partner with product teams to translate research into production features Work with engineering teams to ensure reliability, safety, and performance of deployed models Contribute to internal documentation, research reports, and knowledge‑sharing sessions Key Requirements:
PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related technical field Prior research experience with Machine Learning / AI required Strong proficiency in Python, with experience in ML frameworks (e.g., PyTorch) and data tooling (NumPy, Pandas, Scikit‑learn) Demonstrated experience in NLP, LLMs, conversational AI, or machine learning research Strong problem‑solving skills and ability to operate independently while driving complex research initiatives Experience designing experiments, evaluating models, and working with large datasets Preferred Qualifications:
2+ years of research or applied ML experience in conversational agents, LLM systems, or real‑time AI applications Experience deploying models or research prototypes to cloud environments Expertise with RAG pipelines, vector databases, reasoning or planning modules, or agent tool‑use systems $150,000 - $190,000 a year We believe: Diversity
is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds. Compassion
is a strength. We care about our customers and look to build long‑term relationships with them. Simplicity
is a key feature. We work hard to make our forms and processes as painless and intuitive as possible. Honesty and transparency are non‑negotiable.
We incorporate these traits in all of our interactions. Financial opportunity belongs to everyone.
We work every day to improve lives by extending this opportunity. If you believe these things too then we would love to hear from you! A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from@lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
#J-18808-Ljbffr
AI Research Scientist
with a
PhD in relevant field
to lead our initiatives in
conversational AI
and
agentic AI systems . In this role, you will drive the research direction, technical strategy, and execution of next‑generation intelligent agents across the organization. You will work closely with engineering, product, and leadership teams to develop, evaluate, and deploy innovative AI capabilities that power real‑time, high‑impact user experiences. This position is a hybrid role based in
Boston, MA , requiring
3 days onsite . Key Responsibilities:
Research Leadership & Technical Direction Lead research and development for conversational AI, agentic AI, and multi‑step reasoning systems Explore and prototype novel architectures, algorithms, and interaction paradigms across text, voice, and multi‑modal interfaces Define technical roadmaps, research priorities, and model evaluation strategies for agent behaviors, tool‑use workflows, and context management Modeling & System Development
Develop agent frameworks including prompt architectures, retrieval systems (RAG), planning modules, and tool orchestration pipelines Build robust real‑time systems including voice streaming, low‑latency inference, and continuous context tracking Design, fine‑tune, and deploy LLM‑based and multi‑modal models using internal infrastructure, REST APIs, and microservices Run systematic experiments to evaluate model quality, reliability, reasoning, and user experience Analyze conversational data, agent behavior traces, and performance metrics to guide iterative improvements Develop benchmarking protocols, simulation environments, and evaluation tooling for agentic workflows Data & Infrastructure Ownership
Build and curate high‑quality datasets for training and evaluation, including preprocessing, labeling workflows, and data governance Ensure data accuracy, reproducibility, and rigor across the research lifecycle Collaborate with backend and ML infrastructure teams on scalable deployment, monitoring, and optimization of agentic systems Cross‑functional Collaboration
Partner with product teams to translate research into production features Work with engineering teams to ensure reliability, safety, and performance of deployed models Contribute to internal documentation, research reports, and knowledge‑sharing sessions Key Requirements:
PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related technical field Prior research experience with Machine Learning / AI required Strong proficiency in Python, with experience in ML frameworks (e.g., PyTorch) and data tooling (NumPy, Pandas, Scikit‑learn) Demonstrated experience in NLP, LLMs, conversational AI, or machine learning research Strong problem‑solving skills and ability to operate independently while driving complex research initiatives Experience designing experiments, evaluating models, and working with large datasets Preferred Qualifications:
2+ years of research or applied ML experience in conversational agents, LLM systems, or real‑time AI applications Experience deploying models or research prototypes to cloud environments Expertise with RAG pipelines, vector databases, reasoning or planning modules, or agent tool‑use systems $150,000 - $190,000 a year We believe: Diversity
is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds. Compassion
is a strength. We care about our customers and look to build long‑term relationships with them. Simplicity
is a key feature. We work hard to make our forms and processes as painless and intuitive as possible. Honesty and transparency are non‑negotiable.
We incorporate these traits in all of our interactions. Financial opportunity belongs to everyone.
We work every day to improve lives by extending this opportunity. If you believe these things too then we would love to hear from you! A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from@lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
#J-18808-Ljbffr