AI/ML Engineer

Sunbit builds financial technology for real life. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point of sale fast, fair, and accessible 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.

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

We invite you to #UnleashYourCuriosity and join our ever-growing R&D organization.

About The Role

Sunbit is looking for an experienced, independent team player who has great data & computer science skills, a passion for data, and excellent analytical and algorithmic skills.

This role is diverse, encompassing AI/ML, data analysis, and backend engineering.

You will play a crucial role within a mission-critical team responsible for managing the heart and brain of Sunbit’s primary products. This involves working on core systems, such as POS underwriting models, models for merchant operations, Fraud investigator AI agents and more.

You will participate in cutting-edge risk management systems that safeguard the loan product's financial operation, as well as operational systems, with a direct impact on its financial success.

Our AI/ML team is part of the R&D group, so you will work closely with engineers and product managers as well.

Key Responsibilities

Research and develop statistical behaviors, study domain-specific data.

Develop state-of-the-art machine learning models end to end, including development, deployment, and continuous improvement. Both in-weight learning and in-context learning, for risk / fraud / operations related projects. This includes integrating models into production services and ensuring compliance with regulatory processes (e.g. providing evidence for production model audits).

Operate backend infrastructure for training and deploying ML models, ensuring optimal performance and reliability.

Develop and maintain Python code for translating ML model outputs into financial decisions.

Analyze 15+ different data sources in order to train models and agents to catch fraudulent patterns.

Conduct analytical research on our model’s impact on the portfolio.

Strategize and implement changes to enhance portfolio performance.

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).
• 3+ 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 conduct rigorous evaluation, infer conclusions and creatively offer solutions based on data analysis.
• Strong ownership and independence skills. Thrive in some tasks as the sole ML expert in a squad, 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 HR to confirm. We ask that you contact HR only about potential instances of fraud. HR 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 HR directly, and your email about your application will be deleted from our systems.