Autodesk

Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, leading production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features. This role involves leading and growing a team of ML engineers, improving models based on production issues and feedback, leading production release processes, building observability and on-call practices, developing evaluation frameworks, and leading reliability/performance/cost improvements for inference and serving. The role also partners with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements, and establishes production standards for ML features.

Machine Learning Engineer with a focus on Generative AI, Computer Vision, and Computer Graphics for the film industry at Autodesk Flow Studio. The role involves designing and implementing ML and GenAI models for visual effects, neural rendering, motion capture, and 3D content generation.

This role is for a Machine Learning Technical Manager at Autodesk, focusing on leading a team to develop and deploy next-generation AI solutions for their VFX platform (Autodesk Flow Studio). The role requires expertise in Computer Vision, Computer Graphics, or Generative AI, with responsibilities including managing a team, defining ML strategy, collaborating with product and engineering, and providing technical oversight for model development and deployment. The ideal candidate has a track record of delivering ML models into production, preferably in media/entertainment, and strong programming skills in Python with ML frameworks.

Principal Software Engineer role focused on developing and shipping AI/ML features within Autodesk's Fusion product. Responsibilities include building production-grade AI features, establishing telemetry and observability for AI services, managing high-availability cloud infrastructure for AI workloads, implementing security and compliance frameworks (SOC2, PRRAF), and integrating AI into complex products. Requires experience taking AI/ML models to production, building AI-powered workflows, and system-level thinking.

Autodesk is seeking a Principal Software Developer to join their Cloud Services & Applied AI team in Canada. This role will focus on building fundamental data extraction pipelines, defining data models, and developing cloud services to enable data-centricity within their manufacturing platform. The developer will lead design, implementation, testing, and delivery of modules, while also driving the adoption and best practices of Applied AI, specifically using AI coding agents to accelerate feature delivery and fixes, with rigorous verification.

This role focuses on designing and scaling responsible AI adoption and governance across an enterprise, including license management, security, compliance, and usage optimization for AI tools like Claude and Cursor. It also involves creating developer enablement resources and training. A secondary focus is on managing a beta testing platform (Centercode).

This role focuses on leading the design, delivery, and reliability of a full-stack product for water utility asset management. It involves developing backend services, data pipelines, and APIs, with an emphasis on AI-empowered features and utilizing AI development tools. The role requires strong software engineering skills, cloud experience, and the ability to mentor others.

Software Engineer (Junior) role at Autodesk focused on developing an AI-powered architecture design product. The role involves building, testing, and shipping features for architects, engineers, and designers, collaborating with cross-functional teams, and growing skills in modern web, cloud, and data-driven engineering environments. The company aims to help design better cities using cloud-based software tools that incorporate machine learning.

Principal Software Engineer to join a team developing an AI-powered architecture design product. The role involves working on complex 3D drawing, real-time ML analyses, setting technical direction, and ensuring product scalability. The goal is to help users discover sustainable solutions and gain insights.