Application Guide
How to Apply for Senior Machine Learning Engineer
at Workiva
🏢 About Workiva
Workiva specializes in integrated ESG (Environmental, Social, and Governance) reporting, helping organizations achieve transparent climate impact tracking and compliance. Their focus on sustainability and regulatory technology makes them unique, offering engineers the chance to build ML solutions with real-world environmental impact. Working there means contributing to tools that help companies measure and improve their sustainability efforts.
About This Role
This Senior Machine Learning Engineer role involves architecting and delivering ML solutions using MLOps best practices, with a focus on Generative AI applications for ESG reporting. You'll design systems for rapid ML development, high availability, and observability while collaborating with product teams to integrate machine learning features into Workiva's platform. The role is impactful because it directly supports transparent climate reporting and compliance through scalable, efficient ML infrastructure.
💡 A Day in the Life
A typical day might involve collaborating with product teams to design APIs for ML features, developing automation tools to support scalable ML solutions, and monitoring system observability for high availability. You could spend time architecting Generative AI applications for ESG data processing, participating in Agile sprints to integrate machine learning into Workiva's platform, and optimizing MLOps workflows using Docker, Kubernetes, and cloud services.
🚀 Application Tools
🎯 Who Workiva Is Looking For
- Has 2+ years of ML engineering experience with proficiency in ML development cycles, toolsets, and Generative AI applications
- Demonstrates hands-on experience with Python, GO, or Java, along with GitHub, Docker, Kubernetes, and cloud services in an Agile/Sprint environment
- Can design systems for rapid ML development, high availability, and observability, with experience in MLOps and automation
- Shows ability to collaborate with product teams on APIs, ML infrastructure, and feature integration, ideally in sustainability or compliance domains
📝 Tips for Applying to Workiva
Highlight specific experience with Generative AI projects, especially those related to data processing, reporting, or compliance, as Workiva focuses on ESG reporting
Emphasize your MLOps expertise and examples of designing systems for rapid ML development, high availability, and observability in past roles
Tailor your resume to mention experience with Python, GO, or Java, and tools like GitHub, Docker, Kubernetes, and cloud services, linking them to ML projects
Research Workiva's ESG reporting platform and suggest how your ML skills could enhance features like climate impact tracking or compliance automation
Showcase collaboration with product teams in Agile environments, providing examples of integrating ML features into products or maintaining ML infrastructure
✉️ What to Emphasize in Your Cover Letter
["Explain your interest in Workiva's mission of ESG reporting and how your ML engineering skills align with their focus on climate impact and compliance", 'Detail specific experience with Generative AI and MLOps, providing examples of projects that improved efficiency, scalability, or observability', 'Highlight your ability to collaborate with product teams on APIs and ML infrastructure, emphasizing Agile/Sprint experience and integration successes', 'Mention your proficiency in relevant languages and tools, tying them to past achievements in ML development or system design']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Explore Workiva's ESG reporting platform and their specific solutions for climate impact tracking and compliance to understand their product ecosystem
- → Look into recent news or case studies about Workiva's ML or AI initiatives, especially related to sustainability or regulatory technology
- → Review their company culture and values, focusing on how they integrate technology with environmental and social governance goals
- → Study the regulatory landscape for ESG reporting to grasp the compliance challenges Workiva addresses with their ML solutions
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying without mentioning Generative AI experience or failing to provide specific examples of ML projects, as this is a key requirement for the role
- Overlooking the Agile/Sprint environment in your application or not highlighting collaboration with product teams on APIs and infrastructure
- Submitting a generic cover letter that doesn't reference Workiva's ESG focus or how your skills align with their mission and specific job duties
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!