Senior Staff Machine Learning Engineer

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $193.000 - $308.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 Machine-Learning-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Workiva

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2008

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

Consulting • Healthcare • Logistics

Workiva ist eine cloudbasierte, KI-gestützte Plattform, die Finanzberichterstattung, Risiko- und Compliance-Management sowie Nachhaltigkeitsberichterstattung vereint. Sie ermöglicht es Teams, Daten über Systeme hinweg zu verknüpfen, in Echtzeit zusammenzuarbeiten, Berichte zu automatisieren (einschließlich XBRL-Tagging) und die Prüfbarkeit und Nachvollziehbarkeit für regulierte Offenlegungen und Prüfprozesse aufrechtzuerhalten. Workiva bedient große Unternehmen sowie Finanz-, Rechts-, Prüfungs- und Nachhaltigkeitsteams, um die Berichterstattung zu beschleunigen, die Genauigkeit zu verbessern und Risiken zu reduzieren.

Beschreibung

• Own the architecture of Workiva’s AI platform and core AI services • Shape how machine learning, Generative AI, and agentic systems are integrated across products • Lead the move from early adoption to production-grade, enterprise-ready systems • Define standards for model serving, retrieval, evaluation, governance, and platform reliability • Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination • Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows • Establish evaluation methods and quality frameworks for Generative AI applications • Assess emerging AI technologies and guide adoption strategy for Workiva’s platform • Influence technical direction across teams, products, and platform domains • Mentor Staff and Senior Engineers and help raise the technical bar across the organization • Partner closely with Product, Security, Infrastructure, and Architecture leaders • Align teams around a shared vision for scalable, secure AI at Workiva • Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance • Establish best practices for AI safety, model governance, and customer data protection • Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support • Design for fault tolerance and operational excellence in regulated, security-conscious environments

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience • 10+ years of software engineering experience, including large-scale SaaS platforms • 5+ years designing, deploying, and operating production ML, AI, or data-intensive systems • Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance. • Deep expertise in RAG, agentic systems, and large-scale knowledge systems • Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs • Experience with AI evaluation, secure AI systems, and regulated enterprise environments • Proven track record leading architecture across multiple teams or platform domains • Strong distributed systems, cloud-native, API, reliability, and operational excellence experience • Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++ • Proven record mentoring senior engineers and technical leaders.

🏖️ Vorteile

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package