About the job
We are on the lookout for an experienced Senior Machine Learning Engineer to join our innovative team at Fundraise Up. In this pivotal role, you will leverage your expertise in machine learning to design and implement cutting-edge solutions aimed at enhancing our fundraising platform.
About Fundraise Up
Fundraise Up is a state-of-the-art fundraising platform dedicated to making donations to nonprofit organizations seamless and efficient. We are committed to continuous innovation, improving page load times, increasing conversion rates, and supporting a diverse range of payment methods. Our platform facilitates hundreds of millions of dollars in donations globally each month.
Renowned nonprofit organizations, including UNICEF, the American Heart Association, and the Alzheimer’s Association, trust our platform for their online fundraising needs. We are proud to maintain an impressive 4.9 out of 5 rating across leading review platforms.
Our primary client base is located in the United States, Canada, the United Kingdom, and Australia.
The Team
Join our dynamic product development team, which consists of over 150 professionals spread across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Our team communicates primarily in Russian, fostering a collaborative environment where every member is valued and encouraged to contribute their ideas.
We hold bi-weekly engineering meetups to discuss technical challenges and share insights, promoting a culture of continuous learning and support.
Key Responsibilities
- Design, develop, and deploy machine learning solutions across various business domains.
- Collaborate with multiple product teams to optimize features such as donation amounts and upsell offers.
- Experiment with and apply classical machine learning, reinforcement learning, and large language model-based solutions.
- Contribute to the development of smart assistants and transaction classification systems.
Qualifications
- Minimum of 5 years of production experience in machine learning.
- Proficiency in English (B2 level) is required; Russian is a plus.
- Strong problem-solving skills and a willingness to experiment with various approaches.
- Experience working in a collaborative team environment.
