The Principal Machine Learning Engineer at Workiva spearheads the strategic vision for advancing Machine Learning (ML) solutions, ensuring inclusivity, and fostering innovation. This role champions MLOps excellence, crafting cloud infrastructure solutions to expedite 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 Do
Shape the strategic engineering roadmap for ML advancement
Explore cutting-edge technologies for strategic ML endeavors
Architect systems to facilitate agile ML development with robust observability
Advise Workiva leadership and stakeholders on ML strategies
Lead the team in adopting new ML technologies and methodologies to align with Workiva's goals
Mentor junior ML engineers and scientists while establishing team standards and processes
Collaborate with product teams to integrate ML solutions via APIs
Maintain and evolve machine learning infrastructure
Forecast and coordinate development timelines, ensuring timely deliverables
Manage backlog and resolve interdependencies with other product teams
Host ML models for product teams, ensuring monitoring and performance
Develop automated tests tailored for ML solutions
Troubleshoot and debug components across diverse service and application contexts
Assist support teams in resolving production issues and participate in on-call rotations
Conduct code reviews and engage external stakeholders in ensuring solution quality
Communicate complex technical issues effectively to diverse audiences
Collaborate with software architects, data experts, and product managers to design comprehensive software products meeting varied customer needs
What You’ll Need
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Minimum 8 years of ML engineering experience
Preferred Qualifications
Technical leadership experience within an ML team
Proficiency in architecting highly-available MLOps and ML solutions
Expertise in the ML development cycle and associated tool sets
Demonstrated ability to identify and apply ML solutions effectively
Experience with Generative AI and integrating Gen AI models
Strong organizational skills with the ability to manage multiple projects
Proven track record of problem-solving and decision-making in ambiguous situations
Proficiency in Python, GO, Java, or similar languages
Familiarity with Git or equivalent version control systems
Experience with Docker, preferably Kubernetes, and cloud platforms like AWS
Agile/Sprint working environment experience
Solid foundation in computer science principles and cloud-based distributed systems
Excellent communication skills, both verbal and written, for effective collaboration
Proficiency in debugging complex systems and knowledge of web protocols
Understanding of commercial databases and systems performance tuning
Experience in production-level testing and optimizing models for scalability
Working Conditions
How You’ll Be Rewarded
✅ Salary range in the US: $167,000.00 - $284,000.00
✅ 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.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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. We strongly encourage and welcome people from historically marginalized groups to apply.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email
talentacquisition@workiva.com
.
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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