Machine Learning Engineer

October 10

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Logo of Workiva

Workiva

Government Reporting • Internal Controls • Section 16 • SEDAR Reporting • SOX

1001 - 5000

💰 $689.3k Venture Round on 2014-10

Description

• The Machine Learning Engineer is responsible for contributing to the development and implementation of innovative machine learning solutions at Workiva. • They will assist in building ML features, collaborating on projects that may include integrating AI into Workiva’s platform. • The role involves supporting the development of tools, systems, infrastructure, and automation to enhance the performance and monitoring of ML solutions. • The Machine Learning Engineer will work closely with senior team members to troubleshoot issues related to availability or scaling and contribute to solutions that ensure long-term stability. • They will apply foundational knowledge in the Machine Learning space while learning from and assisting more experienced engineers.

Requirements

• Preferred Qualifications • 2 years of ML engineering experience or; or an advanced degree without experience • Proficiency in the machine learning development cycle, toolsets, and applying ML solutions to real-world problems • Experience with model deployment, data pipelines, and CI/CD pipelines, as well as infrastructure management • Familiarity with Generative AI and relevant development patterns • Proficient in programming languages like Python, Java, Typescript, React, or similar, and experience using source control systems (e.g., GitHub) • Hands-on experience with Docker and Kubernetes (preferred) along with cloud services like AWS or equivalent platforms • Strong foundation in programming, including data structures, algorithms, and distributed systems • Experience working in Agile/Sprint environments and debugging complex systems or applications • Knowledge of web protocols (HTTP), databases, performance tuning, and production-level testing • Strong communication and organizational skills for managing multiple projects and meeting deliverables effectively

Benefits

• Salary range in the US: $79,000.00 - $134,000.00 • A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package

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