Oportun

About Oportun

Empowering financial health through AI-driven banking

🏢 Corporate, Management Consulting👥 1001+ employees📅 Founded 2005📍 San Carlos, CA💰 $66.3m3.6
FintechB2CArtificial IntelligencePersonal financeLendingFinancial Services

Key Highlights

  • Headquartered in San Carlos, CA with 1001+ employees
  • Raised $66.3 million in Series B funding
  • Served over 1 million customers with billions in credit facilitated
  • Offers personal loans, credit cards, savings accounts, and investment app

Oportun is a fintech company headquartered in San Carlos, CA, that leverages AI to provide accessible digital banking and loan services. With over 1 million customers, Oportun offers personal loans, credit cards, savings accounts, and an investment app, facilitating billions in credit and savings. T...

🎁 Benefits

Oportun offers comprehensive healthcare packages, including medical, dental, and vision coverage, along with flexible spending accounts (FSA). Employe...

🌟 Culture

Oportun fosters a culture focused on financial empowerment, utilizing AI to simplify banking for underserved communities. The company values innovatio...

Skills & Technologies

Overview

Oportun is seeking a Senior Machine Learning Engineer to lead the development of their ML infrastructure, focusing on model training and deployment. You'll work with Python, TensorFlow, and AWS to deliver impactful solutions. This role requires significant experience in machine learning and software engineering.

Job Description

Who you are

You have 5+ years of experience in machine learning and software engineering, with a strong foundation in developing and deploying machine learning models. Your expertise in Python and libraries such as TensorFlow and Keras allows you to build robust ML solutions that drive business impact. You are familiar with cloud platforms like AWS, enabling you to leverage scalable infrastructure for model training and deployment. Your experience with SQL helps you manage and analyze data effectively, ensuring high-quality inputs for your models. You thrive in collaborative environments, working closely with cross-functional teams to integrate ML solutions into existing systems. You are passionate about continuous learning and staying updated with the latest advancements in machine learning and AI technologies.

Desirable

Experience with MLOps practices and tools is a plus, as it enhances your ability to streamline the ML lifecycle from development to production. Familiarity with data engineering concepts will further strengthen your contributions to the team.

What you'll do

In this role, you will lead the development of Oportun's machine learning infrastructure, overseeing the entire lifecycle from model conception to deployment. You will collaborate with data scientists and software engineers to design and implement scalable ML solutions that meet the needs of our clients. Your responsibilities will include conducting experiments to optimize model performance, ensuring that the models are robust and reliable in production environments. You will also be responsible for monitoring model performance and making necessary adjustments to improve accuracy and efficiency. As a senior member of the team, you will mentor junior engineers, sharing your knowledge and best practices to foster their growth. You will participate in code reviews and contribute to the overall improvement of the team's development processes. Your work will directly impact Oportun's mission to provide affordable credit solutions, making a difference in the lives of our members.

What we offer

Oportun provides a supportive and inclusive work environment where you can thrive. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will be part of a mission-driven organization that values diversity and equity, allowing you to contribute to meaningful work that empowers individuals to achieve their financial goals. Join us in making a positive impact in the financial services industry while advancing your career in machine learning and AI.

Interested in this role?

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