Senior Staff Machine Learning Engineer

🕒 June 13

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

Where this job comes from

Posted on Workiva's careers page, not through a job board

First seen by Remote Rocketship June 13

Still open on Workiva's site. Checked 1 hour ago.

Logo of Workiva

Workiva

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $689.3k Venture Round on 2014-10

Consulting • Healthcare • Logistics

Workiva is a comprehensive platform designed for corporate reporting, ESG, audit, and risk management. It offers integrated reporting solutions that connect data, unify processes, and empower teams to focus on value-added work. Over 6000 international companies trust Workiva for its ability to streamline workflows and provide a single source of truth for financial and non-financial data. The platform incorporates cutting-edge technology, including AI and automation, to enhance security and compliance with current and future regulatory requirements. Workiva's solutions are tailored to various sectors, including banking, insurance, and investments, and the platform supports teams in accounting, finance, audit, risk, and sustainability.

📋 Description

• 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

🎯 Requirements

• 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 • 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 • Reliable internet access for remote working opportunities

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match • Comprehensive employee benefits package • Remote work opportunities • Flexible choice to work from an office or remotely from any location within the employee’s country of employment • Less than 10% travel

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