Principal Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

170 days ago

Salary

$204K - $326K / year

Bachelor Degree8 yrs expExperience acceptedEnglishAWSCloudDockerJavaKubernetesPythonGo

Job Description

• Spearhead strategic vision for advancing Machine Learning (ML) solutions and MLOps excellence • Shape the strategic ML roadmap and guide leadership on ML strategies • Architect scalable cloud systems with strong observability and maintain ML infrastructure • Lead adoption of new ML methodologies, mentor engineers, and establish team standards • Guide a team building Workiva’s Generative AI platform and empower product teams • Collaborate with product, data, and architecture teams to integrate ML solutions via APIs and design end-to-end products • Manage backlog, forecast timelines, and resolve interdependencies to ensure timely delivery • Host and monitor ML models, develop automated tests, and support production troubleshooting (including on-call) • Conduct code reviews, ensure solution quality, and communicate technical issues to diverse stakeholders

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • Minimum 8 years of ML engineering experience
  • Technical leadership experience in ML initiatives and full ML lifecycle
  • Experience designing and overseeing scalable, highly available ML/MLOps solutions
  • Experience with Generative AI and agentic frameworks (preferred)
  • Deep knowledge of computer science, distributed cloud systems, and databases
  • Proficiency in Python, Go, Java (or similar)
  • Experience with Git, Docker, Kubernetes
  • Experience with cloud platforms (AWS preferred)
  • Familiarity with Agile/Scrum practices
  • Strong cross-functional communication skills
  • Experience anticipating and resolving system-level challenges and production troubleshooting
  • Willingness to participate in on-call support and minimal (<10%) travel
  • Completion of security and privacy training (required for employees)

Benefits

  • A discretionary bonus typically paid annually
  • Restricted Stock Units granted at time of hire
  • 401(k) match
  • Comprehensive employee benefits package
  • Flexible work arrangements (work from office or remotely within country of employment)
  • Comprehensive security and privacy training tailored to roles

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