Senior Staff Machine Learning Engineer, Workiva

$193-308k

A discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire

Python

Scala

Java

C++

Expert level

Remote from US

Less than 10% travel

Software for sustainability, GRC & financial reporting

Open for applications

Software for sustainability, GRC & financial reporting

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Open for applications

$193-308k

A discretionary bonus typically paid annually and Restricted Stock Units granted at time of hire

Python

Scala

Java

C++

Expert level

Remote from US

Less than 10% travel

1001+ employees

B2BEnterpriseComplianceAnalyticsData AnalysisCloud Computing

Company mission

To power transparent reporting for a better world.

Job

Company

Role

Who you are

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
Reliable internet access for remote working opportunities

Desirable

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

What the job involves

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
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
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
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
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

Our take

For large-scale businesses, collecting and sharing data can be a complex and challenging process. Workiva solves this problem with its AI-powered data platform.

Workiva is one of the biggest players in the market, serving around 75% of Fortune 500 companies, including Google and Delta. Workiva's controlled, secure and audit-ready platform has maintained a clear edge over much of its competition.

Workiva's quality product and its commitment to transparency has made it a firm favourite with companies around the world. If it can maintain this, it stands to consolidate its impressive growth even further in the coming years.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

5% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 4 rounds)

Oct 2014

$0.7m

EARLY VC

Dec 2012

$30.7m

SERIES C

Total funding: $46.9m

Company HQ

Ames, IA

Leadership

Julie Iskow

(CEO)

Julie joined Workiva in 2019 sa COO/President and became CEO in 2023. Previously, she served as the CTO at Medidate Solutions and as the CIO at WageWorks.

David Haila

(CTO)

David has been at Workiva since 2009, joining the team as a Senior Software Engineer. Since then, he has held a number of roles and became CTO in 2023.

Jill Klindt

(CFO & EVP)

Jill has been at Workiva since 2008, joining as a Controller before holding a number of roles and becoming CFO & EVP in 2023. Previously, she held Financial roles at Financial Intelligence, Wells Fargo Financial, CitiMortgage, and Principal Financial Group.

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