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Staff Machine Learning EngineerWorkiva • United States
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Staff Machine Learning Engineer

Workiva
  • US
    United States
  • US
    United States
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About

divh2Staff Machine Learning Engineer/h2pJoin our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine Learning (ML) team, youll spearhead the architecture and delivery of groundbreaking machine learning solutions across our platform. Your expertise will be instrumental in leading projects that demand innovative problem-solving, including the integration of cutting-edge Generative AI into our products./ppIn this role, youll have the chance to develop robust tools, systems, and infrastructure to bolster the development, monitoring, and management of our machine learning solutions. Leveraging your engineering prowess, youll tackle challenges related to availability and scaling, ensuring the long-term stability of our systems./ppIf youre passionate about pioneering the possibilities of Generative AI and want to be part of a team driving innovation at Workiva, we invite you to join us! Learn more about Workivas Generative AI and be part of shaping the future of ML with us./ph3What Youll Do/h3pArchitect and Develop Solutions/pulliArchitect and deliver cutting-edge ML solutions using MLOps and best practices, fostering creativity in project execution/liliDesign systems to enable rapid ML development, high availability, and clear observability/liliDevelop tools, systems, and automation to support ML solutions, ensuring efficiency, scalability, and rapid development/li/ulpCollaborate and Lead/pulliCollaborate closely with product teams to develop APIs, maintain ML infrastructure, and integrate machine learning features into products/liliProvide technical leadership, mentor less experienced ML engineers and scientists, and define team best practices and processes/liliLead in the ML space by introducing new technologies and techniques, and applying them to Workivas strategic initiatives/liliCommunicate complex technical issues to both technical and non-technical audiences effectively/liliCollaborate with software, data architects, and product managers to design complete software products that meet a broad range of customer needs and requirements/li/ulpEnsure Reliability and Support/pulliDeliver, update, and maintain machine learning infrastructure to meet evolving needs/liliHost ML models to product teams, monitor performance, and provide necessary support/liliWrite automated tests (unit, integration, functional, etc.) with ML solutions in mind to ensure robustness and reliability/liliDebug and troubleshoot components across multiple service and application contexts, engaging with support teams to triage and resolve production issues/liliParticipate in on-call rotations, providing 24x7 support for all of Workivas SaaS hosted environments/liliPerform Code Reviews within your groups products, components, and solutions, involving external stakeholders (e.g., Security, Architecture)/li/ulh3What Youll Need/h3pRequired Qualifications/pulliBachelors degree in Computer Science, Engineering or equivalent combination of education and experience/liliMinimum of 4 years in ML engineering or related software engineering experience/liliProficiency in ML development cycles and toolsets/li/ulpPreferred Qualifications/pulliFamiliarity with Generative AI/liliStrong technical leadership skills in an Agile/Sprint working environment/liliExperience building model deployment and data pipelines and/or CI/CD pipelines and infrastructure/liliProficiency in Python, GO, Java, or relevant languages, with experience in Github, Docker, Kubernetes, and cloud services/liliProven experience working with product teams to integrate machine learning features into the product/liliExperience with commercial databases and HTTP/web protocols/liliKnowledge of systems performance tuning and load testing, and production-level testing best practices/liliExperience with Github or equivalent source control systems/liliExperience with Amazon Web Services (AWS) or other cloud service providers/liliAbility to prioritize projects effectively and optimize system performance/li/ulh3Working Conditions/h3ulliLess than 10% travel/liliReliable internet access for remote working opportunities/li/ulh3How Youll Be Rewarded/h3pSalary range in the US: $148,000.00 - $237,000.00/ppA discretionary bonus typically paid annually/ppRestricted Stock Units granted at time of hire/pp401(k) match and comprehensive employee benefits package/ppThe 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./ppEmployment 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./ppWorkiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please contact talentacquisition@workiva.com./ppWorkiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards./p/div
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