Senior ML Engineer - R12162

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $19.7 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

 

WORKING AT OPORTUN

Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.

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 Senior 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. Your mastery of a ML domain enables you to take up business problems and solve them with a AI/ML solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior ML engineers, and collaborate closely with diverse teams, including data scientists, and engineers, to deliver high-quality Ml 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. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the ML solution - for large initiatives (cross-functional and multi-month long projects).RESPONSIBILITIES

• Lead the implementation of a cutting-edge ML infrastructure, encompassing all facets from model inception to deployment, ensuring adherence to best practices and high overall quality standards.
• Provide exceptional technical leadership, mentoring, and guidance to a team of machine learning engineers, fostering a culture of continuous learning and innovation.
• Take ownership of critical projects and initiatives, providing project leadership, and ensuring successful delivery through effective project management and communication. Engage with stakeholders across the group, understanding their needs and working through the complexity and conflicting goals.
• Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
• Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility.
• Architect and execute model deployment strategies, harnessing containerization (Docker) and orchestration (Kubernetes) for exceptional scalability and reliability.
• Engineer automated CI/CD pipelines that facilitate seamless model deployment, monitoring, and continuous optimization.
• Define and refine performance benchmarks, and optimize models and infrastructure to achieve peak efficiency, scalability, and robustness.
• Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our ML ecosystem.

REQUIREMENTS

• Requires 6+ 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.
• Proven track record of delivering sophisticated ML solutions with high qua