Staff Machine Learning Engineer

| Remote
Employer Provided Salary: 120,000-204,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform. Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products.

In this role, you'll need to bring not just senior-level experience, but a deep understanding of system design principles and a track record of architecting robust ML solutions. We're looking for someone who can mentor and lead projects, driving the development of exceptional talent while ensuring project success. Additionally, experience with Terraform or CloudFormation for deploying infrastructure is crucial. We're seeking candidates who can efficiently manage infrastructure deployment using these tools to support our ML initiatives.

You'll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, you'll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems.

If you're passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workiva's Generative AI and be part of shaping the future of ML with us.

What You’ll Do

Architect and Develop Solutions

  • 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 and Lead

  • 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

Ensure Reliability and Support

  • 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) 

What You’ll Need

Required Qualifications

  • 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

Preferred Qualifications

  • Familiarity with Generative AI

  • Strong technical leadership skills in an Agile/Sprint working environment

  • Proven experience working with product teams to integrate machine learning features into the product

  • 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

  • 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

Working Conditions

  • Less than 10% travel

  • Reliable internet access for remote working opportunities

How You’ll Be Rewarded

Salary range in the US: $120,000.00 - $204,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. 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.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].

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

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • GolangLanguages
    • JavascriptLanguages
    • PythonLanguages
    • Google AppEngineLanguages
    • Open SourceLanguages
    • Dart Languages
    • ReactLibraries
    • CassandraDatabases
    • Graph DatabaseDatabases
    • Google AnalyticsAnalytics
    • JIRAManagement
    • DrupalCMS
    • SalesforceCRM
    • MarketoLead Gen


Workiva is in an ideal location on the banks of the South Platte River surrounded by restaurants and retail shops!

An Insider's view of Workiva

What’s the vibe like in the office?

Workiva is a close-knit workplace where teamwork is highly valued—people encourage and truly appreciate the hard work of their fellow team members and treat each other with respect.

Molly Nitka

Corporate Programs Manager

What is your vision for the company?

Our mission at Workiva—to power transparent reporting for a better world—is supported by our company values: customer success, innovation, trust, integrity, inclusion, collaboration, and accountability. We are successful because we put our employees first, listen to their voices, and respond to their needs.

Marty Vanderploeg


What are Workiva Perks + Benefits

Workiva Benefits Overview

When you join Workiva, you get a world-class benefits package for you and your family. On day one, every full-time employee starts with stock options, vacation, and the opportunity to enroll in our discounted stock purchase plan.

We offer comprehensive health, dental, and vision care plans; life and disability insurance; and 12 weeks of paid parental leave. With a casual dress code, support for health and wellness, and flexible work hours, we’ve got you covered for whatever life brings.

Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Open office floor plan
Flexible work schedule
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
We have seven employee resource groups that are formed around a shared interest or common goal. These groups are designed to support their members and cultivate a more diverse & inclusive workspace.
Hiring practices that promote diversity
Health Insurance + Wellness
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Financial & Retirement
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Child Care & Parental Leave
Generous parental leave
We provide up to 12 weeks of parental leave for the primary caretaker. Workiva also provides 12 weeks of leave for the secondary caretaker.
Family medical leave
Vacation + Time Off
Generous PTO
Paid volunteer time
Paid holidays
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Pet friendly
Onsite gym
Professional Development
Job training & conferences
Workiva offers employees professional development opportunities like Onsite training courses, The ability to attend job related conferences and seminars.
Promote from within
Continuing education available during work hours

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