Software Engineer, Lendbuzz
Machine Learning - LLMs
$140-160k
3 days a week in office
Car financing platform
Be an early applicant
Car financing platform
201-500 employees
Be an early applicant
$140-160k
3 days a week in office
201-500 employees
Company mission
To help you build your credit and get your dream car with our excellent services.
Role
Who you are
- Master’s degree in Artificial Intelligence, Computer Science, or a related technical field
- Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn)
- Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines
- Experience with NLP techniques, LLMs, or machine learning fundamentals
- Strong problem-solving ability and comfort working independently in a fast-moving environment
- Preferred: Experience deploying applications or models on cloud platforms, preferably AWS
- Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio
What the job involves
- We are seeking a skilled and motivated Software Engineer focused on Large Language Model (LLM) applications to join our Machine Learning team
- In this role, you will help design, build, and optimize next-generation conversational agent technologies
- You will collaborate closely with ML researchers and product teams to ship high-impact features and own key components of our conversational AI stack
- This position reports to the ML Research Scientist
- Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience
- Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices
- Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic
- Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction
- Analyze model outputs, user interactions, and system performance to drive iterative improvements
- Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks
- Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle
- Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services
- Contribute to internal documentation, experimentation processes, and model evaluation frameworks
Our take
On a mission to help individuals currently underserved by the traditional credit system, Lendbuzz is an automobile finance platform that uses machine learning and AI to help consumers with little to no credit history access financing when buying a car.
Research found that nearly two thirds of consumers want to improve their credit scores, likely because it’s deemed the only way to access loans and credit cards. Whilst banks and traditional lenders assess credit based on FICO scores, Lendbuzz finds new signals and other relevant data to assess a person’s credit worthiness.
$100 million in lending capital from Mitsubishi UFJ Financial Group is fuelling more warehouse capacity for Lendbuzz's loan origination growth. It has secured its substantial investment thanks to a prolonged period of high performance, having established a year-on-year loan originations growth of more than 100% per annum.
Freddie
Company Specialist at Welcome to the Jungle
Insights
33% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2023
$45m
LATE VC
Aug 2022
$43.7m
LATE VC
Total funding: $366.1m
Company benefits
- Dental and Health Insurance
- Company Outings
- 401(k)
- Fitness Center
- Unlimited PTO
- Stocked Kitchen
- Company Issued Hardware
- Cool Swag
Company HQ
Financial District, Boston, MA
Leadership
Amitay Kalmar
(CEO)Previously served as Vice President of Technology Investment Banking for Deutsche Bank, and Project Manager for IDF.
Dan Raviv
(CTO)Previously worked in Research for both Massachusetts Institute of Technology (MIT) and Hewlett-Packard.
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