Senior Machine Learning Engineer, Workiva

• Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience
• Minimum of 2 years in ML engineering or related software engineering experience
• Proficiency in ML development cycles and toolsets
• Willingness to travel up to 10% for team and corporate meetings, fostering relationships and representing company interests
• Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

Desirable

• We're looking for a Senior Engineer to join our Machine Learning team and help build the next generation of intelligent solutions at Workiva
• In this role, you’ll play a key part in designing, developing, and delivering machine learning infrastructure and services—including innovative applications of Generative AI—that power impactful features across our platform
• As a senior machine learning engineer, you’ll work closely with cross-functional teams to create scalable, high-performance systems that support the full ML lifecycle—from experimentation and training to deployment and monitoring. Your work will directly contribute to delivering smarter, faster, and more intuitive experiences for our customers
• Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution
• Design systems to enable rapid ML development, high availability, and clear observability
• Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development
• Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products
• Mentor less experienced ML engineers and scientists, and define team best practices and processes
• Communicate complex technical issues to both technical and non-technical audiences effectively
• Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements
• Deliver, update, and maintain machine learning infrastructure to meet evolving needs
• Host ML models to product teams, monitor performance, and provide necessary support
• Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability
• Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues
• Participate in on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments
• Perform Code Reviews within your group’s products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)

• End Date: May 28, 2025