Job Description
Job Requisition ID #
25WD88436Position Overview
As a Principal Machine Learning Engineer at Autodesk, you will be responsible for leading, building and deploying cutting-edge machine learning solutions that personalize and enhance the customer experience across our platforms. You will work with large-scale datasets, collaborate cross-functionally, and apply state-of-the-art techniques to deliver intelligent, scalable systems. This role emphasizes hands-on ML development and deployment using the AWS stack. You will be collaborating with other teams in the Access domain, partnering with the Autodesk ML Platform team for tooling and infrastructure needs to deploy ML models and AI solutions for Access related workflows and use cases. If you are technically savvy, and want to pave the way in ML/AI in use cases that have a direct customer and revenue impact, this is a role for you.
Responsibilities
ML Model Development: Design and build scalable machine learning models using large datasets to provide personalized recommendations, predictions, and classifications. Architect and manage deployment for large-scale ML lifecycle on AWS, leveraging deep expertise to build scalable, secure, and cost-optimized solutions
End-to-End Data Pipeline & Deployment - Design, build, and maintain scalable, fault-tolerant data pipelines that support the full ML lifecycle leveraging cloud services
Software Engineering: Write maintainable code using frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and XGBoost. Integrate ML pipelines into CI/CD workflows
Platform Scalability: Design and implement scalable inference services for real-time and batch use cases
Model Performance Optimization: Test and improve model accuracy, efficiency, and speed. Monitor model health and maintain automated retraining
Cross-Functional Collaboration: Work with ML researchers, software engineers, product managers, architects, and operations teams to integrate ML into Autodesk products. Translate requirements into effective ML solutions
Productization of Research: Develop prototypes and reusable components to turn research into production-ready features
Ownership & Leadership: Lead deliverables, make key architectural decisions, and contribute to the evolution of Autodesk’s AI/ML platform
Knowledge Sharing: Stay updated with ML/AI trends, contribute to best practices and organizational learning
Minimum Qualifications
Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field
5+ years of experience in building, deploying, and scaling ML models in production
Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and XGBoost
Good understanding of ML algorithms, statistical modeling, and data architecture
Experience with AWS services, including SageMaker, Lambda, ECS, and Step Functions, S3, etc
Ability to integrate ML pipelines into cloud-based systems and production applications
Strong analytical, problem-solving, and debugging skills
Technical Communication: Clearly present findings and results to both technical and non-technical stakeholders
Preferred Qualifications
Experience mentoring junior engineers or leading ML projects in cross-functional teams
Knowledge of responsible AI principles, including model explainability and fairness
Understanding of compute infrastructure, distributed systems, and provisioning in cloud environments
Learn More
About AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & BelongingWe take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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Autodesk develops 3D design software for use in the architecture, engineering, construction, and media industries. It offers AutoCAD software, a computer-aided design application for professional design, drafting, detailing, and visualization; AutoCAD LT, a professional drafting and detailing software; Autodesk Building Design Suites to manage various phases of design and construction; Autodesk Revit products that provide model-based design and documentation systems; Autodesk Infrastructure Design Suites; AutoCAD Civil 3D products for surveying, designing, analysis, and documentation; AutoCAD Map 3D software, which offers direct access to data needed for infrastructure planning, design, and management; Autodesk Product Design Suites for digital prototyping; Autodesk Inventor that allows manufacturers to go beyond 3D design to digital prototyping; AutoCAD Mechanical software to accelerate the mechanical design process; and Autodesk Moldflow family of injection molding simulation software; Autodesk Maya and Autodesk 3ds Max software products for 3D modeling, animation, effects, rendering, and compositing solutions as well as Autodesk Flame, Autodesk Smoke, and Autodesk Lustre software applications that offer editing, finishing, and visual effects design and color grading solutions. Autodesk, Inc. was founded in 1982 and is headquartered in San Rafael, California.
