Top Tech Jobs & Startup Jobs in Austin, TX

The Legal Counsel will lead and negotiate complex capital markets transactions, support securitizations and financing deals, and provide legal guidance to assess and mitigate risks. They will work closely with finance teams to structure deals and assist with general commercial agreements as needed.

Research Scientist role at Upstart focusing on productionalizing, deploying, and training machine learning models for the Personal Loans, Underwriting team. Strong academic credentials with a master's degree in quantitative areas of study preferred. Position available in multiple locations and remote work option available.

The Senior Operations Manager for Auto Collections will lead and manage the collections team, strategize on debt collection processes, enhance collection performance through analytics, and mentor team members. The role emphasizes developing operational strategies to optimize the recovery of delinquent auto accounts and improve workflows.

As a Staff Data Scientist at Upstart, you will analyze models, identify improvement opportunities, and report findings to stakeholders. You'll collaborate with the Machine Learning team to build and evaluate models, ensure code quality, and drive data-driven decision-making for business impact.

As a Staff Analyst on the Personal Loans team at Upstart, you will drive data understanding and insights to enhance the Personal Loans product. This includes using analytics tools to analyze user behavior and product performance, conducting quantitative analysis, and collaborating with cross-functional teams. Additionally, you will mentor product analysts and improve the product data capabilities as Upstart expands.

As a Staff Analyst in Growth Analytics at Upstart, you will drive insights and decision-making related to acquiring and retaining borrowers. You will partner with marketing and engineering teams to develop analytical frameworks, conduct experiments, and enhance data capabilities while mentoring growth analysts.

As a Senior Software Engineer on the ML Platform team, you will develop and maintain the MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Your role focuses on optimizing software applications, building infrastructure for model training, and enabling collaboration with data engineers and research scientists.