Machine Learning Engineering Manager, Model Delivery

🕒 Fevereiro 18

🏄 California – Remoto

🏄 California – Remote

💵 $148.500 - $266.200 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

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Autodesk

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1982

📱 Mídia

Architecture • Engineering • Media

A Autodesk é líder global em software para designers, engenheiros, construtores e criadores. A empresa oferece um portfólio abrangente de aplicativos de design e engenharia, incluindo produtos populares como AutoCAD, Revit e 3ds Max. Por meio de sua plataforma Design and Make, a Autodesk capacita profissionais de diversos setores a projetar, visualizar e gerenciar projetos com eficiência, fomentando a inovação e a sustentabilidade em arquitetura, engenharia, construção e manufatura.

Descrição

• Lead and grow a team of ML engineers focused on production ML systems • Lead model improvements in response to production issues, product feedback, and new research or platform advancements • Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures • Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews • Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions • Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability) • Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements • Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage) • Partner with platform and product teams to integrate ML capabilities into products

🎯 Requisitos

• BS/MS in CS/Engineering or equivalent experience • Experience building and operating software systems, including production ML systems • People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery) • Experience with cloud infrastructure and production observability (AWS, Azure, or GCP) • Experience with CI/CD, reproducible deployments, and operating services in production • Strong written communication and documentation skills

🏖️ Benefícios

• Health and financial benefits • Time away and everyday wellness