About Two Dots
Fair income verification for seamless underwriting
Key Highlights
- Seed stage with $5.8 million in funding from Y Combinator
- Focused on income verification for large apartment managers
- Utilizes AI for fraud detection and payroll data access
- Located in Tribeca, New York, with a small team of 1-20 employees
Two Dots is a New York-based fintech startup focused on income and employment verification for underwriters, particularly in the real estate sector. With $5.8 million in funding from Y Combinator, the company leverages advanced AI to streamline payroll data access, helping property managers efficien...
🎁 Benefits
Employees enjoy competitive equity options, flexible PTO, and a remote-friendly work environment, fostering a balance between personal and professiona...
🌟 Culture
Two Dots promotes a mission-driven culture focused on fairness in consumer underwriting. The team values innovation and efficiency, utilizing AI to so...
Machine Learning Engineer • Mid-Level
Skills & Technologies
Overview
Two Dots is hiring a Machine Learning Engineer to design, develop, and deploy machine learning solutions focused on fine-tuning multimodal large language models. You'll work with Python and TensorFlow in San Francisco, with a salary range of $175k - $250k per year.
Job Description
Who you are
You have a strong background in machine learning and data analysis, with experience in designing and deploying machine learning models that drive business impact. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to build advanced ML applications that enhance consumer evaluation processes.
You are skilled at analyzing large datasets to uncover insights and trends that inform product development and improve customer experiences. Your ability to continuously monitor and improve the performance of deployed models ensures they meet business objectives and scalability requirements.
You stay up to date with the latest advancements in machine learning and are eager to apply new techniques to solve real-world problems. You thrive in collaborative environments, working closely with cross-functional teams to achieve shared goals.
What you'll do
In this role, you will work autonomously to design, develop, and deploy machine learning models that enhance Two Dots' capabilities in fraud detection and application approval automation. You will analyze large datasets to uncover insights that inform product development and personalized customer experiences, ensuring that the models you create are effective and scalable.
You will continuously monitor the performance of deployed models, making adjustments as necessary to meet evolving business objectives. Your work will directly contribute to building a stronger financial system by improving the accuracy and fairness of consumer evaluations.
You will collaborate closely with the CTO and the Staff ML Engineer, contributing to the strategic direction of machine learning initiatives within the company. Your insights and expertise will help shape the future of Two Dots' technology and its impact on the financial industry.
What we offer
We offer a competitive salary range of $175k - $250k per year, along with a substantial equity package and full benefits. You will be part of a mission-driven team dedicated to building a better financial system, where your contributions will have a meaningful impact on consumers and the economy.
At Two Dots, we value diverse backgrounds and encourage applicants from all walks of life to apply, even if they do not meet every qualification listed. Join us in our mission to create a fairer financial landscape.
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