Workiva

Senior Staff Machine Learning Engineer - US

USA - Remote · Staff+

Sponsorship not specified$193k-$308kDetected 30 days ago

PythonJavaGoC++ScalaDistributed SystemsMachine LearningLLMsRAGAgentic AIMLOpsLeadershipMentoring

About the role

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.

Own the architecture of Workiva's AI platform and core AI services
Lead the move from early adoption to production-grade, enterprise-ready systems
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
Partner closely with Product, Security, Infrastructure, and Architecture leaders
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations.
The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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
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.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

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

$193,000.00 - $308,000.00 ✅ A discretionary bonus typically paid annually
The salary range represents the low and high end of the salary range for this job in the US.
The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

✅ Salary range in the US: $193,000.00 - $308,000.00 ✅ A discretionary bonus typically paid annually
Shape how machine learning, Generative AI, and agentic systems are integrated across products
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package

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.

ability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic

This listing is sourced directly from Workiva's careers page and normalized into a canonical job model.