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.
What You'll Do
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)
What You'll Need
Minimum Qualifications
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
Preferred Qualifications
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
Travel Requirements and Working Conditions
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
How You’ll Be Rewarded
✅ Salary range in the US: $128,000.00 - $205,000.00✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
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