Machine Learning Engineer

Two Dots is revolutionizing the lending industry through AI-powered fraud prevention and underwriting, with an initial focus on real estate lending. Founded by alumni from Goldman, Google, and Blend, the company aims to prevent financial crises by thoroughly validating income declarations on loan applications.

The Machine Learning Engineer role is crucial in building and maintaining the AI systems that power Two Dots' fraud prevention platform. You'll be working on sophisticated ML pipelines that process various data types including document images, natural language, and numerical data. The role involves fine-tuning models and conducting thorough performance evaluations through simulation and backtesting.

As a senior member of the team, you'll be joining a startup founded in 2022 that's tackling significant challenges in the financial sector. The company's mission is to prevent fraudulent activities similar to those that contributed to the 2008 financial crisis and more recent fraud cases like the Anna Delvey incident.

The position offers competitive compensation with a base salary range of $200K-$400K and equity participation of 0.10%-0.60%, reflecting the company's commitment to attracting top talent. Located in San Francisco, you'll be working with a team of 18 people, including founders with impressive backgrounds from leading tech and financial institutions.

This is an excellent opportunity for an experienced ML engineer who wants to make a real impact in financial technology while working on challenging technical problems with meaningful real-world applications.