
Revolutionizing lending with AI-driven insights
Upstart is an AI lending marketplace headquartered in South San Mateo, California, connecting millions of consumers with over 100 banks and credit unions. The company has raised $135.7 million in Series D funding and facilitates billions in loan originations by using advanced AI models to assess cre...
Upstart offers comprehensive health plans, a 401k plan, generous vacation policy, flexible time off, parental leave, and family forming benefits throu...
Upstart fosters a culture focused on leveraging technology to democratize access to credit. With a strong emphasis on AI-driven solutions, the company...

Upstart • United States | Remote
Upstart is seeking a Machine Learning Engineer to enhance their underwriting models using machine learning techniques. You'll collaborate with research and data scientists to improve credit decisioning processes. This role requires expertise in Python and machine learning frameworks.
You have a strong background in machine learning and data science, with at least 3 years of experience in building and deploying machine learning models. Your expertise in Python allows you to write efficient and scalable code, and you are familiar with libraries such as TensorFlow and Keras for model development. You understand the importance of data quality and have experience working with SQL databases to extract and manipulate data for analysis.
You thrive in collaborative environments and enjoy working with cross-functional teams, including data scientists and software engineers. Your communication skills enable you to convey complex technical concepts to non-technical stakeholders, ensuring alignment on project goals. You are passionate about leveraging technology to solve real-world problems, particularly in the financial sector, and are committed to ethical AI practices.
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with MLOps practices for deploying and monitoring machine learning models in production. Knowledge of statistical analysis and experience with A/B testing methodologies will further enhance your contributions to the team.
As a Machine Learning Engineer at Upstart, you will play a crucial role in developing and optimizing the underwriting models that drive our AI lending marketplace. You will collaborate closely with research scientists to translate innovative algorithms into production-ready solutions that enhance credit decisioning processes. Your work will directly impact the approval rates and loss rates for our partners, helping to expand access to affordable credit.
You will be responsible for designing experiments to validate model performance and iterating on your designs based on feedback and results. This includes feature engineering, model training, and evaluation, ensuring that our models are robust and reliable. You will also work on improving the overall machine learning infrastructure, contributing to the efficiency and productivity of the team.
In addition to technical contributions, you will participate in code reviews and provide mentorship to junior engineers, fostering a culture of learning and collaboration within the team. Your insights will help shape the direction of our machine learning initiatives, and you will have the opportunity to present your findings to stakeholders across the organization.
At Upstart, we are committed to creating an inclusive and supportive work environment. We offer competitive compensation packages, including salary and equity options, as well as comprehensive benefits that promote work-life balance. Our remote-first culture allows you to work from anywhere in the United States, with opportunities to connect with colleagues through virtual events and team-building activities.
You will have access to professional development resources, including training programs and conferences, to help you grow your skills and advance your career. Join us in our mission to revolutionize the lending industry through innovative technology and data-driven solutions.
Apply now or save it for later. Get alerts for similar jobs at Upstart.