The Machine Learning Research Scientist will develop ML and deep learning models, conduct research, and integrate solutions, requiring strong coding and ML expertise.
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 looking for a talented Machine Learning Research Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a deep understanding of machine learning methodologies.
Responsibilities:
- 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, scalable pipelines and systems using software engineering best practices
- Implement 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
Requirements:
- Ph.D in Computer Science, Engineering, or a related field with 3+ years of relevant industry experience
- Solid grasp of computer science fundamentals and core concepts in machine learning
- Strong knowledge in Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
- Proficiency in Python for data manipulation, PostgreSQL for database management, and Flask for web development
- Strong understanding of object-oriented programming principles and software design patterns
- Experience with RESTful APIs and micro-services architecture
- Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must
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!
Top Skills
Flask
Numpy
Pandas
Postgres
Python
Scikit-Learn
Scipy
Torch
Lendbuzz Boston, Massachusetts, USA Office
100 Summer Street, 1001, , Boston, MA, United States, 02121
Similar Jobs
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
The Head of Data, Digital & Technology leads IT strategy for Plasma Derived Therapies, optimizing technology, managing budgets, and fostering innovation while ensuring data compliance and stakeholder management.
Top Skills:
AIBig DataBioinformaticsCloud ComputingComputer ScienceData ScienceEngineeringMachine Learning
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher I, you'll work with teams to develop AI solutions, analyze data, and leverage advanced technologies to enhance customer experiences.
Top Skills:
Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead the Casino Analytics team to define product metrics, deliver insights, and enhance player experiences through collaboration and mentorship.
Top Skills:
Sql,Snowflake,Microsoft Excel,Tableau,R,Python
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
