Upstart

About Upstart

Revolutionizing lending with AI-driven insights

🏢 Tech, Finance, Financial Services👥 1001+ employees📅 Founded 2012📍 South San Mateo, San Mateo, CA💰 $135.7m3.8
B2CMarketplaceLendingFinancial Services

Key Highlights

  • Raised $135.7 million in Series D funding
  • Over 100 banking partners, connecting millions of consumers
  • 90%+ loan automation rate, enhancing efficiency
  • Offers personal, auto, and home-equity loans

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...

🎁 Benefits

Upstart offers comprehensive health plans, a 401k plan, generous vacation policy, flexible time off, parental leave, and family forming benefits throu...

🌟 Culture

Upstart fosters a culture focused on leveraging technology to democratize access to credit. With a strong emphasis on AI-driven solutions, the company...

Upstart

Machine Learning Engineer Intern

UpstartUnited States - Remote

Apply Now →

Overview

Upstart is seeking a Machine Learning Engineer Intern to build tools that enhance access to affordable credit. You'll work with Python and machine learning techniques to support various projects. This role is ideal for those looking to gain hands-on experience in a dynamic AI-driven environment.

Job Description

Who you are

You are a motivated individual with a strong foundation in machine learning and data science — you have experience with Python and are eager to apply your skills in a real-world setting. You understand the importance of data-driven decision-making and are excited about the opportunity to contribute to projects that have a meaningful impact on access to credit.

You thrive in collaborative environments and enjoy working with cross-functional teams — your communication skills allow you to effectively share ideas and insights with both technical and non-technical stakeholders. You are detail-oriented and have a passion for problem-solving, always looking for innovative ways to tackle challenges.

Desirable

Experience with machine learning frameworks such as TensorFlow or PyTorch is a plus, as is familiarity with data visualization tools. You may have worked on academic or personal projects that demonstrate your ability to build and deploy machine learning models.

What you'll do

As a Machine Learning Engineer Intern at Upstart, you will assist in building and improving production models that are central to our business — your work will directly contribute to enhancing our AI lending marketplace. You will collaborate with research scientists and data scientists to develop tools that support underwriting, pricing, and fraud detection.

You will engage in data preprocessing and feature engineering, ensuring that the data used for model training is of high quality — this involves cleaning, transforming, and analyzing datasets to extract valuable insights. You will also participate in model evaluation and optimization, helping to refine algorithms to improve performance and fairness.

Throughout your internship, you will have the opportunity to learn from experienced professionals in the field — you will gain exposure to various machine learning techniques and best practices, as well as insights into the lending industry. You will be encouraged to share your ideas and contribute to team discussions, fostering a collaborative learning environment.

What we offer

At Upstart, we are committed to creating an inclusive and supportive workplace — you will have access to mentorship and resources that will help you grow your skills and advance your career. We offer a flexible remote work environment, allowing you to balance your internship with your academic commitments.

You will be part of a mission-driven company that values innovation and creativity — your contributions will help shape the future of lending and improve access to credit for individuals across the country. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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