Principal Machine Learning Engineer

OverviewThe Principal Machine Learning Engineer at Workiva spearheads the strategic vision for advancing Machine Learning (ML) solutions, ensuring inclusivity, and fostering innovation. This role champions AI/MLOps excellence, crafting cloud infrastructure solutions to expedite AI/ML development cycles. As a technical leader, the Principal ML Engineer guides a team in creating Workiva's Generative AI platform, empowering product teams to pioneer transformative solutions. They offer expertise and mentorship within the Machine Learning domain, driving progress through collaboration and technical acumen.What You'll DoShape the strategic ML roadmap, exploring new technologies and guiding leadership on ML strategiesArchitect scalable systems with strong observability and maintain ML infrastructureLead adoption of new ML methodologies, mentoring engineers and establishing team standardsCollaborate with product, data, and architecture teams to integrate ML solutions via APIs and design end-to-end productsManage backlog, forecast timelines, and resolve interdependencies to ensure timely deliveryHost and monitor ML models, develop automated tests, and support production troubleshooting (including on-call)Conduct code reviews, ensure solution quality, and communicate technical issues to diverse stakeholdersWhat You'll NeedMinimum QualificationsBachelor's degree in Computer Science, Engineering, or equivalent experienceMinimum 8 years of ML engineering experiencePreferred QualificationsTechnical leadership for ML initiatives, shaping strategy and guiding teams across the full ML lifecycle and toolsetsDesigns and oversees scalable, highly available ML/MLOps solutions, ensuring production readiness and long-term sustainabilityEvaluates and integrates emerging technologies such as Generative AI and agentic frameworks into enterprise solutionsApplies deep knowledge of computer science, distributed cloud systems, and databases to influence architectural decisions and performance improvementsProficiency in Python, Go, Java (or similar), Git, Docker/Kubernetes, and cloud platforms (AWS preferred)Champions Agile/Scrum practices, driving alignment across multiple projects, priorities, and teamsBuilds strong cross-functional partnerships, effectively communicating complex technical concepts to stakeholders at all levelsAnticipates and resolves system-level challenges, setting standards for debugging, troubleshooting, and ensuring scalable, reliable deploymentsWorking ConditionsMinimal (Reliable internet access for remote working opportunitiesHow You'll Be RewardedSalary range in the US: $204,000.00 - $326,000.00A discretionary bonus typically paid annuallyRestricted Stock Units granted at time of hire401(k) match and comprehensive employee benefits packageThe 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 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.#LI-MJ2 #J-18808-Ljbffr

Created: 2025-10-08