Staff Machine Learning Engineer

October 26

🌾 Iowa – Remote

Although this job is listed in Iowa, this company may be open to hiring remote in other states.

💵 $148k - $237k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Workiva

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SaaS • Finance • Compliance

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

1001 - 5000 employees

Founded 2008

☁️ SaaS

💸 Finance

📋 Compliance

📋 Description

• Architect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution • Design systems to enable rapid ML development, high availability, and clear observability • Develop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development • Collaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products • Provide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes • Lead in the ML space by introducing new technologies and techniques, and applying them to Workiva's strategic initiatives • Communicate complex technical issues to both technical and non-technical audiences effectively • Collaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements • Deliver, update, and maintain machine learning infrastructure to meet evolving needs • Host ML models to product teams, monitor performance, and provide necessary support • Write automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability • Debug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues • Participate in on-call rotations, providing 24x7 support for all of Workiva’s SaaS hosted environments • Perform Code Reviews within your group’s products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience • Minimum of 4 years in ML engineering or related software engineering experience • Proficiency in ML development cycles and toolsets • Familiarity with Generative AI • Strong technical leadership skills in an Agile/Sprint working environment • Experience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure • Proficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services • Proven experience working with product teams to integrate machine learning features into the product • Experience with commercial databases and HTTP/web protocols • Knowledge of systems performance tuning and load testing, and production-level testing best practices • Experience with Github or equivalent source control systems • Experience with Amazon Web Services (AWS) or other cloud service providers • Ability to prioritize projects effectively and optimize system performance.

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package