Machine Learning Engineer

The Machine Learning Engineer is responsible for contributing to the development and implementation of frameworks to evaluate and monitor the innovative machine learning solutions at Workiva. They will assist in building the platform and metrics to evaluate and govern the ML/GenAI based solutions.The role involves supporting the development of tools, systems, infrastructure, and automation to evaluate the performance and monitoring of applications. The Machine Learning Engineer will work closely with senior team members to troubleshoot issues related to accuracy, safety latency of ML based solutions. They will apply foundational knowledge in the Machine Learning space while learning from and assisting more experienced engineers.What You'll DoAssist in designing and maintaining systems that enable rapid ML development, with a focus on high availability, observability, scalability, and performanceCollaborate with product teams and architects to develop APIs, integrate ML solutions, and deliver complete software products aligned with customer needsContribute to the delivery, updates, and ongoing maintenance of ML infrastructure while writing high-quality, maintainable codeWrite automated tests (unit, integration, functional) and participate in code reviews to ensure accuracy, stability, and adherence to best practicesDebug and troubleshoot ML components across diverse services and applications; partner with support teams to resolve production issues and ensure smooth operationsParticipate in on-call rotations for 24x7 support of Workiva's SaaS environmentsWork closely with senior engineers to adopt team standards, processes, and technical practices while taking ownership of assigned activitiesExplore and experiment with new technologies and techniques to continuously improve products and processesFoster a collaborative and supportive team environment that values creativity, learning, and growthWhat You'll NeedPreferred Qualifications2 years of ML engineering experience or; or an advanced degree without experienceProficiency in the machine learning development cycle, toolsets, and applying ML solutions to real-world problemsExperience with model deployment, data pipelines, and CI/CD pipelines, as well as infrastructure managementFamiliarity with Generative AI and relevant development patternsProficient in programming languages like Python, Java; experience using source control systems (e.g., GitHub)Experience in Machine Learning and LLM Evaluation metrics - RAGAS/ DeepEval Framework.Experience in developing and implementing the framework for metrics evaluation and monitoring the ML/Gen AI based solutionsHands-on experience with Docker and Kubernetes (preferred) along with cloud services like AWS or equivalent platformsStrong foundation in programming, including data structures, algorithms, and distributed systemsExperience working in Agile/Sprint environments and debugging complex systems or applicationsKnowledge of web protocols (databases, performance tuning, and production-level testingKnowledge of ISO42001 framework, Responsible AI standards and AI governanceStrong communication and organizational skills for managing multiple projects and meeting deliverables effectivelyTravel Requirements and Working ConditionsWillingness to travel up to 10% for team and corporate meetings, fostering relationships and representing company interestsReliable internet access for any period of time working remotely, as we embrace flexible work arrangementsSalary range in the US: $95,000.00 - $152,000.00A discretionary bonus typically paid annuallyRestricted Stock Units granted at time of hire401(k) match and comprehensive employee benefits packageEmployment 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.Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email 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. #J-18808-Ljbffr

Created: 2025-10-08