Autodesk

Autodesk Research is seeking an AI Scientist Manager to lead post-training and model alignment efforts. This role involves managing and growing a team of AI scientists while also contributing as a hands-on researcher. Responsibilities include leading instruction tuning, preference optimization (RLHF, RLAIF, DPO, PPO), and domain-specific post-training. The role also involves designing and maintaining evaluation frameworks for reasoning, tool-use, safety, and robustness, and providing go/no-go recommendations for model releases. The position requires a PhD or equivalent experience, proven people management skills, and expertise in LLMs, fine-tuning, and experimental design.

Senior Applied Scientist role focused on designing, building, and productionizing agent-driven personalization platforms using LLMs and agentic systems for Autodesk products. The role involves developing ML models, agentic frameworks, inference services, and data pipelines, with a strong emphasis on operational excellence and delivering AI/ML systems into scalable production environments.

Software Architect role focused on designing and building scalable, cloud-native AI agents and agentic workflows for Product Data Management (PDM) and Product Lifecycle Management (PLM) systems. The role involves defining GenAI/ML architecture, implementing tool-use, orchestration, and multi-step workflows, and establishing evaluation and observability standards. Requires strong software engineering fundamentals and experience with LLM-based systems like RAG and MCP.

Senior Software Engineer focused on Computer Vision and Multimodal AI to build perception and understanding systems. Develops end-to-end pipelines combining vision models with multimodal reasoning and contextual signals, blending applied research with production-minded implementation for cloud-scale batch processing and interactive workflows.

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.

Director of Software Development - AI/ML at Autodesk, responsible for defining the AI technical strategy, leading AI engineering teams to develop agentic AI and machine learning projects for AutoCAD and Infrastructure products, and ensuring quality standards in AI/ML model development and deployment.

Autodesk is seeking a Principal ML Engineer to lead the design and evolution of large-scale machine learning platforms, focusing on ML infrastructure, data systems, model lifecycle tooling, and production architecture. This role involves owning high-impact technical initiatives, defining technical direction for ML systems, and driving execution across cross-functional teams. The ideal candidate has strong system architecture, distributed computing, and end-to-end platform thinking skills.

Principal Machine Learning Engineer at Autodesk, focusing on integrating AI into AEC products. The role involves exploring and analyzing complex AEC datasets (BIM, drawings, point clouds), building and curating datasets for GenAI, prototyping workflows, and collaborating with AI researchers and product teams. The primary focus is on data preparation and understanding for AI applications within the AEC domain, with secondary involvement in model development and evaluation.

This Principal Research Engineer role focuses on building foundation models and generative AI tools for the AEC industry. The primary responsibilities involve developing scalable data pipelines for diverse AEC and infrastructure data sources, working with large-scale multi-modal datasets (text, geometric, terrain, reality capture) to design preprocessing and content understanding methods, and transforming unstructured data into representations suitable for machine learning. The role also involves collaborating with ML scientists to align data formats for downstream LLM training and fine-tuning, and applying data quality techniques. While the core is data engineering for ML (L0), there's a clear connection to downstream training and fine-tuning (L2).

Autodesk is seeking a Senior ML Engineer to design and scale ML systems and infrastructure, focusing on data pipelines, distributed training, evaluation frameworks, and production ML workflows for foundation models and ML-powered features. The role emphasizes scalable systems and production-grade ML infrastructure, operating independently across the stack.

Machine Learning Engineer focused on building and operating ML systems at scale, including pipelines for data preparation, model training, evaluation, deployment, and monitoring. The role involves developing reliable software and infrastructure for scalable machine learning workflows, contributing to distributed data processing and training systems, and supporting data ingestion and transformation for large-scale datasets.

Autodesk is seeking a Senior Engineering Manager to lead the development of a centralized Personalization platform that powers insights, recommendations, and proactivity across all their products. The role involves building scalable services at the intersection of distributed systems, data platforms, and agentic AI technologies, focusing on systems that analyze data streams, reason, synthesize, and power intelligent assistants and workflows embedded within Autodesk products. The manager will hire, retain, and lead a team of engineers, drive the platform's vision and roadmap, and ensure high-quality service delivery.

Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editor, project memory, and dynamic UI surfaces. The role involves defining AI-first architecture, delivering agentic orchestration, context retention, and composable capability invocation, and contributing to trust models. Requires experience building AI/ML-powered user experiences like LLMs, agents, orchestration, and RAG systems.

Software Developer role focused on building the AI Platform experience stack, including agentic interfaces, workflow editors, and context retention. The role involves defining AI-first architecture, delivering agentic orchestration, and contributing to trust models, with a strong emphasis on shipping AI-native, workflow-first, composable capabilities.

Autodesk is seeking two creative technologist interns interested in visual and deep learning to join their team in Montreal. The role involves prototyping and developing AI-forward techniques and research for 3D graphics, video, games, and visual effects, leveraging computer vision and graphics algorithms. Interns will also participate in developing predictive models and extending ML libraries, staying updated on AI research and production advancements.

Senior Full-Stack Engineer to build AI-native applications with agentic workflows. The role involves designing and implementing backend logic for AI agents to interact with external systems, building human-in-the-loop interfaces for user collaboration, and optimizing the entire stack for performance, especially LLM streaming latency.

Senior Development Manager to lead a team of software and ML engineers in building Autodesk's next-generation machine learning platform (AMP). This platform will power Agentic AI features across Autodesk products. The role requires technical leadership, driving technical strategy, execution, and delivery of scalable AI/ML platforms, and ensuring adoption. Responsibilities include leading and mentoring teams, collaborating with cross-functional teams, guiding system design and architecture, managing execution and budgets, participating in code reviews, fostering a high-performance culture, and hiring top talent. Requires experience in software development, managing ML teams, building scalable production applications on cloud platforms, experience with agentic AI architectures, MLOps, CI/CD, deep learning, and agile methodologies.

Autodesk's AI Lab is seeking a junior AI Developer to prototype, experiment, and develop AI capabilities for their Media & Entertainment product portfolio. The role involves building new AI features, integrating existing AI capabilities, fine-tuning and evaluating LLMs, contributing to AI system evaluation and monitoring, and supporting the integration of AI agents with internal/external services. The role emphasizes cloud-based software and services, with an intent to turn experiments into commercial products. The developer will use AI coding tools but must own the quality, security, and correctness of their work.

Principal Conversational Designer to define and deliver conversational design for Autodesk's agentic AI experiences within the AEC organization. This role will shape how customers interact with AI-powered products and workflows through natural, intuitive, and trustworthy conversational experiences, partnering closely with product, UX, engineering, research, and AI teams.

Senior Machine Learning QA Developer responsible for defining and upholding quality standards for ML systems, including data, models, and systems. The role involves designing evaluation suites, automating QA workflows, and building quality gates for training and deployment pipelines. Experience with CAD software and MLOps practices is beneficial.

Machine Learning Engineering Manager for Autodesk's AEC Solutions group, responsible for leading a team to build foundation models and generative AI tools for the AEC industry. The role involves recruiting, mentoring, fostering innovation, and ensuring privacy/security standards. Requires MS in a related field, 5+ years in ML engineering, and 3+ years in management. Experience with deep learning frameworks, 3D geometry, and AEC industry is preferred.

Senior Software AI Developer role focused on designing and implementing AI features for Autodesk's access group platform, working with product managers, developers, and operations to build and maintain the platform and its roadmap. The role involves developing API's using Python or Node.js, integrating AI Agent tools & frameworks, and building agentic experiences and AI automation, with experience in AWS Bedrock and Strands.

Director of Experience Design leading the strategy and growth of AI-first, agentic, and integrated experiences for Autodesk's manufacturing platform. This role focuses on evolving cloud and SaaS solutions to enhance customer productivity and usability by partnering with Product Engineering, Development, and AI/ML teams to shape the future of manufacturing tools.

Principal Technical Program Manager to own execution and delivery for a Generative AI program in the AEC industry, coordinating cross-functional teams to bring models and ML/data pipelines into production customer experiences. This role involves translating strategy into executable workstreams, managing dependencies, risks, and ensuring scalable, secure, reliable AI/ML solutions meet product launch and operational requirements. It also includes defining launch gates, go/no-go criteria, and operational readiness in partnership with various stakeholders.

Principal Cloud Platform Developer focused on building AI/ML and agentic AI solutions to automate and improve developer onboarding, troubleshooting, and self-service experiences within Autodesk's developer enablement platforms.

This Principal Content Designer role focuses on defining and designing the language, interaction, and intelligence of AI experiences within Autodesk's product design and manufacturing tools. The role involves hands-on content design for AI initiatives and agent experiences, creating scalable language and explanation frameworks to ensure clear, trustworthy AI communication. It requires close collaboration with AI, design, product, and engineering teams to translate AI platform guidance into practical in-product patterns and mentor other designers.

Senior Machine Learning & AI Engineer to build foundation of intelligence-driven user management and access systems. This role will define and deliver ML capabilities from the ground up, leading development of intelligent systems for proactive automation, predictions, and recommendations. Responsibilities include end-to-end ML system development, data pipelines, model development for prediction/recommendation/anomaly detection, real-time/batch inference systems, and collaboration with platform/experience engineering teams.

Autodesk is seeking a Senior Software AI Developer to design and implement AI features for their platform, focusing on AI Agent tools and frameworks, and agentic experiences. The role involves working with product managers and developers to design, implement, and maintain the platform and its roadmap, with a strong emphasis on building scalable and reliable AI-driven features.

Product Manager for Generative AI APIs at Autodesk, focusing on developer enablement and translating AI research into scalable, production-ready solutions. The role involves defining product vision, roadmaps, and driving adoption for both internal and external developer tools and APIs, while ensuring alignment with responsible AI principles.

Autodesk is seeking a Principal Software Developer to design and implement AI features for their platform, focusing on AI agents and automation. The role involves working with product managers and developers to build and maintain the platform and its roadmap, applying deep technical expertise to resolve complex programming and design problems, and ensuring scalability, security, and availability.

Principal Machine Learning Engineer focused on evaluating ML models for CAD and BIM products. The role involves designing evaluation datasets, metrics, and protocols, building repeatable evaluation tooling, analyzing data to assess model behavior and customer outcomes, validating ML-powered product experiences, and communicating findings to stakeholders. The goal is to ensure ML-powered experiences meet high standards for quality, reliability, and customer impact.

Senior Data Scientist to join Autodesk’s Platform Strategy and Emerging Technologies (PSET) organization to develop next-generation applied AI solutions. The role involves developing and deploying end-to-end AI/ML pipelines, applying Generative AI for scalable solutions like AI assistants, and building classic ML applications for personalization and recommendations. Requires expertise in large-scale ML model development, deep learning, RL, or NLP, with hands-on experience in AI/LLM development and fine-tuning.

Autodesk's Applied AI team is seeking a Senior Software Developer to build and ship production-grade cloud-native Agentic AI applications. This hands-on architecture role involves designing core platform patterns, writing production code, and integrating agents with internal/external services. The role requires experience in delivering AI/ML systems in production, proficiency in Python/TypeScript/Java, and experience with AI coding tools.

Senior Machine Learning Engineer focused on MLOps for CAD and BIM, responsible for building and operating infrastructure to deploy, monitor, and integrate AI models into production across Autodesk products. This role ensures reliability, scalability, and operational excellence for AI-powered experiences, partnering with researchers and product teams.

Senior Software Engineer focused on architecting and scaling AI-driven localization systems, integrating NMT, LLMs, QE, and APE. The role involves designing and implementing advanced localization pipelines, fine-tuning transformer models, building scalable backend services, and optimizing model performance on AWS. This position requires strong backend engineering, localization workflow knowledge, and expertise in AI translation technologies.

Autodesk is seeking a PhD intern to join their HCI and Visualization research group. The intern will work on a research project in human-computer interaction or data visualization, focusing on areas like user interfaces for generative AI, information visualization, and generative design tools. Responsibilities include developing software prototypes, conducting literature reviews, building prototypes, running experiments, analyzing data, and authoring research papers. A PhD program enrollment in Computer Science with a specialization in HCI and peer-reviewed publications are required.

This role focuses on building the behavioral intelligence layer that links user behavior to product and model outcomes for AI-powered experiences like chatbots, search, content, and recommendation systems. The Data Scientist will analyze user behavior across these surfaces to understand drivers of business outcomes, track engagement metrics, identify behavioral segments, and translate findings into actionable recommendations for product and marketing teams. The role requires strong SQL and Python skills, experience with data pipelines, and collaboration with cross-functional teams.

Autodesk is looking for a Software Development Manager to lead their Flow Platform Operations team. This role focuses on operational excellence, reliability, and platform readiness at scale, ensuring services are reliable, scalable, and ready to support high-growth products and AI/ML-driven workflows. The manager will lead a team responsible for monitoring, alerting, incident response, CI/CD, and production readiness, collaborating with various teams to enable the next generation of AI-powered creative tools.

Senior Data Software Engineer focused on building the data foundations for Autodesk's AI-powered personalization platform. This role involves designing and owning scalable data pipelines, backend services, and APIs to support personalization, ML, and agentic workflows. The engineer will work with complex data, ensure data quality and observability, and partner with data scientists and product managers.

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.

Chief of Staff role supporting VP of Business Systems, Product & Engineering. Drives alignment between strategy and execution, shapes operating models, and ensures leadership cohesion. Leverages AI tools to scale impact and champions their adoption. Requires influence without authority, executive presence, and ability to unify stakeholders.

Autodesk is seeking a Senior Manager, Architecture to lead the technical direction of a digital consulting platform. This platform will systematize implementation expertise into scalable digital products and services, handling structured knowledge assets, consulting tools, analytics, and service delivery. The role requires owning the platform architecture, non-functional requirements, system design, integration strategy, and knowledge data models. A key aspect is enabling the platform to serve both human users and AI-powered tools and workflows, ensuring knowledge is trustworthy and well-governed. The role involves leading a team of architects and technical specialists while also being a hands-on technical contributor, partnering with product management, engineering, and content teams. Experience with AI/ML integration patterns like RAG and semantic search is highly desirable.

Business Strategist role focused on guiding the adoption, monetization, cost modeling, and strategic planning for AI investments, particularly foundation models, across Autodesk's platform. The role involves building analytical and financial models, forecasting AI adoption and usage, constructing business cases, and optimizing inference cost economics (COGS) and GPU utilization. The candidate will shape business strategy and analytics to inform AI development, roadmaps, and priorities.

This role focuses on analyzing and improving the performance of an LLM-driven chatbot (Commerce & Support Agent - CSA) by building scalable analytics assets, understanding instrumentation, and translating business questions into structured analyses. It's an early-career role at the intersection of product, ML, and business impact.

Autodesk is seeking a Senior Manager of Content Strategy for their Design Solutions team within the AEC industry. This role will lead a team of content strategists to shape product design and user experiences, focusing on AI-powered innovation and seamless digital experiences. The manager will partner with Design, Product, Engineering, and Research to ensure content strategy aligns with customer needs and business outcomes, and will develop strategies for scaling content, including leveraging AI.

This role focuses on defining the system-level content strategy for Autodesk's agentic AI initiative, specifically for the AEC domain. The Senior Principal Content Strategist will architect content frameworks and governance models to ensure AI agents communicate clearly, act helpfully, and scale consistently across products and workflows. The role involves shaping user interfaces, managing expectations, and ensuring a cohesive, intuitive, and high-trust AI-native experience. It requires close collaboration with Product, Design, Engineering, Research, and Data Science to integrate content strategy into the product development lifecycle and influence roadmap decisions. The goal is to create scalable and measurable content frameworks that support rapid iteration and frequent releases, ultimately improving user understanding, task completion, and overall customer outcomes.

Autodesk is seeking a Senior Manager of Content Strategy to lead content strategy, learning experience, and conversational design for their agentic AI initiative within the AEC domain. This role involves shaping how content helps customers navigate complex workflows, understand product value, and complete tasks using digital experiences and AI-powered interactions. The manager will define the content strategy direction for the agentic experience, including personality, tone, voice, user journeys, and establish scalable practices and evaluation methods. They will manage a team of content strategists, learning experience designers, and conversation designers, partnering closely with Design, Product, Engineering, and Research to ensure cohesive and human-centered content experiences. The role emphasizes using AI internally to improve operations and building trusted AI capabilities for customers to automate work and accelerate creativity.

This role leads the User Research function within the AEC User Success organization, focusing on advancing research excellence, defining the research operating model, and embedding a mixed-methods approach. The Director will manage a team, ensure high-quality research, and translate user insights into impactful decisions. A key aspect is evolving the function into a mature, AI-enabled product insights function and enabling the shift towards intelligent, automated, and agentic user experiences, while also informing human-AI interaction models.

Principal Visual Experience Designer at Autodesk focusing on elevating visual design for AI-powered experiences within the AEC domain. The role involves translating product strategy and AI capabilities into polished visual systems, contributing to design systems, and ensuring visual quality across products. Requires strong visual craft, collaboration skills, and experience with AI tools and designing AI-powered experiences.

Autodesk is seeking a Senior Principal Content Strategist to lead content strategy for their Forma Construction and Data portfolio. This role will focus on designing AI-forward experiences, developing content systems, and ensuring content is integrated into the product development process. The strategist will work closely with cross-functional teams to create scalable and measurable content frameworks, guide the design of learning and onboarding experiences, and explore AI-enabled ways of working to improve content quality and impact.