Machine Learning Engineer, Lendbuzz
$110-140k
Car financing platform
Posted today
Car financing platform
201-500 employees
Posted today
$110-140k
201-500 employees
Company mission
To help you build your credit and get your dream car with our excellent services.
Role
Who you are
- Masters (M.S.) with 3+ years of full time experience in industry
- Strong knowledge in Computer Vision, Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
- Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must
- Strong grasp of CS and ML foundation and core concepts
- Experience designing and implementing APIs
- Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux
- Able to convert functional logic into code is a must
- Fluency on the Linux command-line, including utilities (grep, find, etc.) and use of git
What the job involves
- We’re looking for a Machine Learning Engineer who excels in building and maintaining robust systems that deliver real value to users
- At Lendbuzz, you’ll work closely with infrastructure teams to design and deploy end-to-end pipelines, collaborate on ML model integration, and ensure high-quality releases
- Build machine learning and deep learning models based on financial and other modalities like images and text
- Devise new research methods to solve bleeding edge problems and get a chance to work on publishable outcome
- Conduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challenges
- Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
- Design and develop robust, ML pipelines and systemsImplement end-to-end solutions, including architecture design, business logic, and deployment
- Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
- Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
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
Company
Funding (last 2 of 8 rounds)
Oct 2023
$45m
LATE VC
Aug 2022
$43.7m
LATE VC
Total funding: $253.1m
Company benefits
- Dental and Health Insurance
- Company Outings
- 401(k)
- Fitness Center
- Unlimited PTO
- Stocked Kitchen
- Company Issued Hardware
- Cool Swag
Company values
- 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.
Company HQ
Financial District, Boston, MA
Articles
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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