Senior Machine Engineer, ML Systems and Infrastructure

🕒 il y a 1 mois

🗻 New Hampshire, New Jersey, +2 états de plus – Distant

🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

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Autodesk

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1982

📱 Médias

Architecture • Engineering • Media

Autodesk est un leader mondial dans le domaine des logiciels pour les concepteurs, ingénieurs, constructeurs et créateurs. L'entreprise offre une suite complète d'applications de conception et d'ingénierie, incluant des produits populaires tels qu'AutoCAD, Revit et 3ds Max. Grâce à sa plateforme Design and Make, Autodesk permet aux professionnels de divers secteurs de concevoir, visualiser et gérer des projets de manière efficace, favorisant l'innovation et la durabilité dans les domaines de l'architecture, de l'ingénierie, de la construction et de la fabrication.

Description

• Design and build scalable systems for ML training, evaluation, deployment, and monitoring • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability • Contribute to model deployment, inference services, and production monitoring workflows • Improve data quality, lineage, provenance, and operational transparency across ML pipelines • Contribute to architecture and design discussions across the team • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers • Mentor engineers through code reviews, design guidance, and knowledge sharing • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

🎯 Exigences

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure • Strong proficiency in Python and experience delivering production-quality systems • Experience designing and operating scalable data or compute pipelines • Experience with cloud platforms such as AWS, Azure, or GCP • Familiarity with containers, CI/CD, observability, and release quality practices • Ability to independently drive technical execution on complex work with limited oversight

🏖️ Avantages

• Flexible work arrangements • Professional development opportunities