Remote Sr. Staff ML Engineer (R11464)

Description:

• Oportun is a digital banking platform that aims to help its 2.2 million members achieve their financial goals through intelligent borrowing and savings.
• The company has provided over $17.8 billion in responsible credit and saved members more than $2.3 billion in interest and fees.
• The Sr. Staff ML Engineer will set the strategic vision and lead the implementation of a cutting-edge ML infrastructure roadmap, covering all aspects from model inception to deployment.
• This role involves providing technical leadership, mentoring, and guidance to a team of machine learning engineers, promoting a culture of continuous learning and innovation.
• The engineer will collaborate with data scientists to translate complex model requirements into optimized data pipelines, ensuring high data quality and integration.
• Responsibilities include establishing best practices for model versioning, experiment tracking, and evaluation to ensure transparency and reproducibility.
• The role requires architecting and executing model deployment strategies using containerization (Docker) and orchestration (Kubernetes) for scalability and reliability.
• The engineer will also engineer automated CI/CD pipelines for seamless model deployment, monitoring, and continuous optimization.
• Defining performance benchmarks and optimizing models and infrastructure for efficiency, scalability, and robustness is essential.
• Staying updated on industry trends and integrating the latest advancements into the ML ecosystem is a key responsibility.

Requirements:

• A minimum of 12 years of related experience is required, along with a Bachelor's degree in Computer Science or a Master's degree with equivalent education and experience.
• Extensive experience in developing end-to-end machine learning infrastructure for complex, large-scale applications is necessary.
• A proven record of transformative leadership and guiding technical teams to achieve significant outcomes and innovation is essential.
• Mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, along with proficiency in Python programming, is required.
• Deep expertise in containerization (Docker) and orchestration (Kubernetes) for managing complex machine learning applications is necessary.
• A thorough understanding of software engineering principles, version control (Git), and collaborative development workflows is required.
• Familiarity with cloud platforms (AWS or Azure) and the use of cloud-native services for building robust ML infrastructure is essential.
• A successful track record of integrating DevOps practices, CI/CD pipelines, and continuous deployment is required.
• Superior problem-solving skills and the ability to navigate complex technical challenges are necessary.
• Exceptional communication skills are required to foster effective collaboration across diverse teams and stakeholders.

Benefits:

• Oportun offers a differentiated experience of being part of a diverse, equitable, and inclusive culture where employees feel a sense of belonging.
• The company celebrates and nurtures its inclusive culture through employee resource groups.
• Employees have the opportunity to use their technical and ML expertise to drive social impact and financial inclusion.
• Oportun is committed to being an Equal Opportunity Employer, considering all qualified applicants without regard to protected categories.
• The company ensures that applicants are not charged for pre-employment fees such as background checks, training, or equipment.