Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Financial Services • Responsible Lending • Pre-Paid Debit Cards • Serving the Underbanked • Data Analytics
1001 - 5000
July 11
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Financial Services • Responsible Lending • Pre-Paid Debit Cards • Serving the Underbanked • Data Analytics
1001 - 5000
• We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team and lead the development of our ML infrastructure, from model training to deployment, enabling us to deliver advanced and impactful solutions to our clients. As the Staff Machine Learning Engineer at Oportun, you will assume a pivotal role in elevating our ML capabilities, responsible for conceiving and implementing a state-of-the-art machine learning infrastructure. Collaborating seamlessly with diverse teams, including data scientists, engineers, and senior leaders, you will craft revolutionary solutions that redefine the norms of FinTech. Your profound expertise in architecting and deploying machine learning models will be instrumental in propelling our products to new dimensions of sophistication and success.
• Requires 10+ years of related experience with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience. • Extensive experience orchestrating the development of end-to-end machine learning infrastructure for intricate and large-scale applications. • Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation. • Profound mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, coupled with Python programming. • Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications. • Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows. • Adeptness with cloud platforms (AWS or Azure) and utilization of cloud-native services for crafting robust ML infrastructure. • Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines. • Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity. • Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders.
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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