Remote Senior Machine Learning Engineer Job in United States Workiva

Who you are

• 2+ years of relevant experience with a Bachelor's Degree or equivalent experience
• 4+ years of ML engineering or related experience preferred
• Proficiency in ML development cycle and toolsets
• Experience with model deployment, data pipelines, CI/CD, and infrastructure
• Familiarity with Generative AI and development patterns
• Proficient in Python, GO, Java, with source control systems
• Experience with Docker, Kubernetes preferred, and cloud services like AWS
• Strong programming foundation
• Experience in Agile/Sprint environments
• Knowledge of HTTP/web protocols, databases, performance tuning, production-level testing
• Excellent communication and organizational skills

Desirables

• Creative problem-solving skills
• Strong mentoring abilities
• Excellent communication skills
• Organizational skills for managing multiple projects

What the job involves

• Delivering innovative machine learning solutions across Workiva using MLOps and software engineering best practices
• Developing tools, systems, infrastructure, and automation for managing Workiva’s machine learning solutions
• Analyzing issues to ensure high availability and scalability, and deriving long-term stability solutions
• Collaborating with product teams to create APIs and access ML solutions
• Leading the ML team, mentoring, defining best practices, and performing code reviews
• Debugging and troubleshooting components across services and applications
• Collaborating with software/data architects and product managers to create software products addressing customer needs

Application process

• Willingness to travel up to 15% for team and corporate meetings Reliable internet access for remote work