25WD88887

Position Overview

As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities.

As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk’s global developer ecosystem.

Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.

In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.

Responsibilities

• Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
• Optimization: Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
• Model Development: Develop ML models, building on the latest published research.
• Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
• Integration: Integrate existing ML models into novel applications.
• Application Development: Develop and deploy applications that integrate AI/ML technology or models.
• Problem Solving: Apply ML methods to address challenges in the CAD/CAM space.
• Literature Review: Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices.
• Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development.
• Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
• Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.

Requirements

• Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics.
• Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form.
• Programming Skills: Proficiency in Python and JavaScript (required), C++ (optional).
• Analytical Skills: Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems.
• Code Quality: Natural aptitude for good code and software architecture.
• Work Ethic: Hands-on mentality.

Preferred requirements

• Cloud Computing: Strong experience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).
• Governance Understanding: Understanding of governance for cloud-based and AI solutions (e.g., SOC2, ISO 42001, EU AI Act).
• ML Frameworks: Experience with ML frameworks for data preparation and training at a large scale.

Learn More

About Autodesk
Welcome 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 & Belonging
We 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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