[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Workiva is a company focused on providing innovative solutions for complex organizations, and they are seeking a Staff Machine Learning Engineer to lead the architecture and delivery of machine learning solutions. The role involves developing robust tools and systems, collaborating with product teams, and ensuring the reliability of machine learning infrastructure.
Responsibilities
- 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 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
- 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)
Skills
- 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
- Familiarity with Generative AI
- Strong technical leadership skills in an Agile/Sprint working environment
- 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
- Proven experience working with product teams to integrate machine learning features into the product
- 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
Benefits
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
- Less than 10% travel
- Reliable internet access for remote working opportunities
- Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
Company Overview
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