Senior ML Engineer

We are looking for a Senior Machine Learning Engineer to join our ML team to help us build the next generation of ML and AI products in the Workiva Platform. The Senior ML Engineer will play a prominent role in building ML solutions with Large Language Models to delight users and enhance their productivity. If you are interested in being a driver for what is possible with Generative AI, come join our team at Workiva! Learn more about Workiva's Generative AI.SummaryThe Senior Machine Learning Engineer is responsible for delivering machine learning (ML) infrastructure solutions across Workiva with the goal of improving quality, reliability, and efficiency of ML services. The role develops tools, systems, and automation to help monitor, measure, manage, and make transparent Workiva’s machine learning models. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. The role works across product lines to standardize tools and methodologies. They will also provide technical leadership to a team of Engineers to create a reliable and stable platform.What You'll Do Deliver, update, maintain machine learning model training infrastructureDesign systems to enable rapid ML development, high availability, and clear observabilityWrite automated tests (unit, integration, functional, etc) with ML solutions in mindDevelop APIs with product teams to access Workiva’s ML modelsResponsible for serving/hosting ML models to product teams including monitoringDebug and troubleshoot components across multiple service and application contextsEngage with support teams in triaging and resolving production issuesParticipate in on-call rotations which include 24x7 support of all of Workiva’s SaaS hosted environmentsPerform Code Reviews within your group’s products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriateCommunicate complex technical issues to both technical and non-technical audiencesForecast and plan solution development team deliverables and timelinesMaintain the backlog, coordinates teams, and works to resolve interdependencies with other product teams when serving in the tech lead roleManage and resolve dependencies between teamsCollaborate with software, data architects and product managers to design complete software products that can be leveraged to meet a broad range of customer needs and requirementsWhat You'll NeedBachelor’s degree in Computer Science, Engineering or equivalent combination of education and experience4+ years of relevant experience in software engineering, infrastructure engineering, full stack development or equivalentExperience with the machine learning development cycle and tool setsExperience with Python, GO, Java, or other relevant languages preferredExperience with Github, VCS, or equivalent source control systemsExperience with Docker and preferably KubernetesExperience with Amazon Web Services or Google App Engine, or other cloud service providersExperience in an Agile/Sprint working environmentExtensive proficiency in programming to include a solid foundation in computer science, with competencies one or more of: data structures, algorithms, object-oriented software design, and working with cloud-based distributed systems.Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teamsExperience debugging complex systems or applicationsKnowledge of HTTP and web protocolsKnowledge of one or more commercial databasesExcellent planning and organizing skills to prioritize numerous projects and deliverablesKnowledge of systems performance tuning and load testingProven experience working product teams to integrate machine learning features into the productProduction-level testing best practices (signals tests, load testing for ML services, etc) and optimizing models to work at scaleExperience building model deployment pipelines and/or CI/CD pipelines and infrastructureWorking Conditions & TravelReliable internet access for any period of time working remotely, if not located in a Workiva office, as we embrace flexible work arrangements. How You’ll Be Rewarded:Salary range in the US: $102,000.00 - $173,000.00A discretionary bonus typically paid annuallyRestricted Stock Units granted at time of hire401(k) match and comprehensive employee benefits packageThe 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.Where You’ll WorkOur values drive how we work and who we hire. You will see these values ingrained in how we support our customers, work with team members, build our products and in the work environment we’ve created.Customer Success:  Always delight our customers.Trust: Rely on each other. Integrity: Do the right thing, every time. Collaboration: Share resources and work together. Innovation: Keep creating solutions and finding better ways. Inclusion: Support a diverse community where we all belong. Accountability: Be responsible for your success and failure.We believe our people are our greatest asset, and our unique culture gives employees the opportunity to make an impact everyday. We give our employees the freedom and resources they need—backed by our culture of collaboration and diverse thought—to continue innovating and breaking new ground. We hire talented people with a wide range of skills and experiences who are eager to tackle some of today’s most challenging problems.At Workiva, you’ll enjoy: Fantastic Benefits: With coverage starting day one, choose from competitive health, dental, and vision plans on the largest physician networks available.Casual Dress: Workiva has a casual work environment, most people wear jeans to the office.Involvement: Ability to participate in Business Employee Resource Groups (Black, Hispanic, Asian, Women, Rainbow (LGBTQIA+), Veterans, Disabilities), Volunteering, Company wide celebrations, and moreWork-life Balance: We have competitive PTO, VTO and Parental Leave. We encourage employees to spend time enjoying life outside of work. Learn more about life at Workiva: https://www.linkedin.com/company/workiva/Learn more about benefits: https://www.workiva.com/careers/benefits 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 supports employees in working where they work best - either from an office or remotely from any location within their country of employment.#LI-LP1