Senior Machine Learning Engineer

Workiva Inc.•Ames, IA

22h•$128,000 - $205,000

About The Position

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. If you're excited by the potential of AI and want to build real-world solutions at scale, we’d love to have you on the team. Explore the possibilities of Workiva’s Generative AI at Workiva and help shape the future of enterprise technology with us.

Requirements

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

Nice To Haves

Experience with Generative AI
Experience working in an Agile/Sprint working environment
Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure
Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services
Proven experience working with product teams to integrate machine learning features into the product
Experience with commercial databases and HTTP/web protocols
Knowledge of systems performance tuning and load testing, and production-level testing best practices
Experience with Github or equivalent source control systems
Experience with Amazon Web Services (AWS) or other cloud service providers
Ability to prioritize projects effectively and optimize system performance

Responsibilities

Architect and Develop Solutions 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 and Lead 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
Ensure Reliability and Support 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)