Description

About Us:

Sunbit builds financial technology for real life. Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 25,000 service locations, including auto dealership service centers, optical practices, dentist offices, veterinary clinics, and specialty healthcare services

Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named a Most Loved Workplace®, Best Point of Sale Company, and a Top Fintech Startup by CB Insights.

We use cutting-edge innovations in financial technology to bring leading data and features that instantly allow individuals to be qualified, making purchases at the point of sale fast, fair, and easy for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere

About the Role:

Sunbit is looking for a talented AI/ML Engineer to join our R&D division and help develop and implement data-driven and AI-powered solutions that support our collections, payments, and call center operations. You’ll work on a variety of projects - from building and improving machine learning models to designing prompts and agents that enhance agent productivity and customer experience.

In this role, you’ll collaborate closely with senior AI/ML engineers, BE engineers, and product teams to turn business challenges into deployable, measurable solutions. This is a hands-on position for someone passionate about combining analytical thinking, experimentation, and AI technologies to drive real business impact.

Key Responsibilities:

• Develop and improve ML models that support business operations such as collections, payments, and servicing.
• Contribute to the design and fine-tuning of AI agents and prompts that assist call center agents and improve customer interactions.
• Analyze and interpret large datasets to identify trends, insights, and opportunities for optimization.
• Collaborate with engineers and product teams to integrate models and AI tools into production environments.
• Experiment with LLMs and prompt engineering to improve automation and decision support systems.
• Evaluate model performance, track key metrics, and suggest improvements for accuracy and robustness.
• Stay current with new developments in AI/ML and LLM-based technologies.

Requirements

Requirements:

• B.Sc or preferably M.Sc in quantitative discipline (preferably in Data Science, Computer Science, Mathematics, Statistics, or another related field with a strong emphasis on quantitative analysis).
• 1+ years of experience in developing and deploying ML models in a production environment, or demonstrated exceptional talent with a relevant B.Sc. degree.
• Knowledge of Data Science techniques, algorithms, and processes.
• Excellent analytical and algorithmic skills. Being able to infer conclusions and creatively offer solutions based on data analysis.
• Strong ownership and independence skills. Comfortable taking ownership over the full life cycle of models and integrating versatile tasks (ML, data analysis, and Backend).
• Excellent teamwork skills.
• Effective communication skills to explain complex topics in English.

Recruitment Fraud Disclaimer

We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at [email protected] to confirm. We ask that you contact [email protected] only about potential instances of fraud. [email protected] does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to [email protected] directly, and your email about your application will be deleted from our systems.