Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer | Workiva | UnitedStates

The Senior Machine Learning Engineer is responsible for deliveringinnovative machine learning (ML) solutions across Workiva using MLOps andsoftware engineering best practices. The Senior ML Engineer will own anddeliver projects to develop ML features that require creativeproblem-solving such as integrating Gen AI into Workiva’s platform.

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Senior Machine Learning Engineer | Workiva | United States

The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva’s platform.

The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva’s machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members.

What You’ll Do

Design systems to enable rapid ML development, high availability, and clear observability
Develop APIs with product teams to access Workiva’s ML solutions
Deliver, update, maintain machine learning infrastructure
Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes
Write automated tests (unit, integration, functional, etc) with ML solutions in mind
Debug and troubleshoot components across multiple service and application contexts
Engage with support teams in triaging and resolving production issues
Participate in on-call rotations which include 24×7 support of all of Workiva’s SaaS hosted environments
Perform Code Reviews within your team’s products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate
Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements

What You’ll Need

Minimum requirements

2+ years of relevant experience with a Bachelor’s Degree or equivalent experience

Preferred Qualifications

4+ years of ML engineering or related experience
Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems
Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure
Familiarity with Generative AI and related development patterns
Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub)
Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent)
Strong programming foundation, including data structures, algorithms, and distributed systems
Experience in Agile/Sprint environments and debugging complex systems or applications
Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing
Excellent communication and organizational skills for managing multiple projects and deliverables

Travel Requirements and Working Conditions

Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests
Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

How You’ll Be Rewarded

✅ Salary range in the US: $102,000.00 – $173,000.00

✅ 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

talentacquisition@workiva.com

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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