Senior Staff Machine Learning Engineer - US
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Director
- Experience
- 10+ years
- Education
- Bachelor's degree
- Listed
- 14 days ago
Skills & highlights for this role
- Machine Learning
- Production ML/AI system design and operation
- Large-scale SaaS software engineering
- Python
- At least one production language such as Java, Go, Scala, or C++
- Technical mentorship
Also useful
- Enterprise AI platform design (model serving, evaluation, observability, governance)
- RAG
- Agentic systems
- Foundation model ecosystems (inference, routing, prompting, provider tradeoffs)
- AI evaluation
- Secure AI systems
- Regulated enterprise environments
- Distributed systems
What You'll Do
AI Platform Architecture
- Own the architecture of Workiva's AI platform and core AI services
- Shape how machine learning, Generative AI, and agentic systems are integrated across products
- Lead the move from early adoption to production-grade, enterprise-ready systems
- Define standards for model serving, retrieval, evaluation, governance, and platform reliability
Agentic AI and Generative AI Leadership
- Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination
- Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows
- Establish evaluation methods and quality frameworks for Generative AI applications
- Assess emerging AI technologies and guide adoption strategy for Workiva's platform
Technical Leadership
- Influence technical direction across teams, products, and platform domains
- Mentor Staff and Senior Engineers and help raise the technical bar across the organization
- Partner closely with Product, Security, Infrastructure, and Architecture leaders
- Align teams around a shared vision for scalable, secure AI at Workiva
Security, Governance, and Reliability
- Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance
- Establish best practices for AI safety, model governance, and customer data protection
- Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support
- Design for fault tolerance and operational excellence in regulated, security-conscious environments
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 10+ years of software engineering experience, including large-scale SaaS platforms
- 5+ years designing, deploying, and operating production ML, AI, or data-intensive systems
Preferred Qualifications
- Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance.
- Deep expertise in RAG, agentic systems, and large-scale knowledge systems
- Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs
- Experience with AI evaluation, secure AI systems, and regulated enterprise environments
- Proven track record leading architecture across multiple teams or platform domains
- Strong distributed systems, cloud-native, API, reliability, and operational excellence experience
- Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++
- Proven record mentoring senior engineers and technical leaders
Working Conditions
- Less than 10% travel
- Reliable internet access for remote working opportunities
How You'll Be Rewarded
Salary range in the US
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.
About Workiva
Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world's largest and most regulated organizations. We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.
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.
#LI-MJ2
Equal opportunity and legal notices
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.
From Workiva's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Senior Staff Machine Learning Engineer - US job at Workiva located?
Yes, this Senior Staff Machine Learning Engineer - US opening at Workiva is listed as Remote (US). Always check Workiva's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior Staff Machine Learning Engineer - US at Workiva?
For the Senior Staff Machine Learning Engineer - US role, Workiva highlights 10+ years of relevant experience; a bachelor's degree; experience with Machine Learning, Production ML/AI system design and operation, Large-scale SaaS software engineering, Python, At least one production language such as Java, Go, Scala, or C++, Technical mentorship. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior Staff Machine Learning Engineer - US position at Workiva?
This listing links directly to Workiva's Workday application page. You can apply directly on Workiva's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.